Patent Publication Number: US-9886458-B2

Title: Methods and systems for managing one or more services and/or device data

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     If an Application Data Sheet (ADS) has been filed on the filing date of this application, it is incorporated by reference herein. Any applications claimed on the ADS for priority under 35 U.S.C. §§ 119, 120, 121, or 365(c), and any and all parent, grandparent, great-grandparent, etc. applications of such applications, are also incorporated by reference, including any priority claims made in those applications and any material incorporated by reference, to the extent such subject matter is not inconsistent herewith. 
     The present application is related to and/or claims the benefit of the earliest available effective filing date(s) from the following listed application(s) (the “Priority Applications”), if any, listed below (e.g., claims earliest available priority dates for other than provisional patent applications or claims benefits under 35 USC § 119(e) for provisional patent applications, for any and all parent, grandparent, great-grandparent, etc. applications of the Priority Application(s)). In addition, the present application is related to the “Related Applications,” if any, listed below. 
     PRIORITY APPLICATIONS 
     For purposes of the USPTO extra-statutory requirements, the present application claims benefit of priority of U.S. Provisional Patent Application No. 61/720,245 titled METHODS AND SYSTEMS FOR DATA SERVICES, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 30 Oct. 2012, which was filed within the twelve months preceding the filing date of the present application or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application claims benefit of priority of U.S. Provisional Patent Application No. 61/720,874 titled METHODS AND SYSTEMS FOR DATA SERVICES, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Oct. 2012, which was filed within the twelve months preceding the filing date of the present application or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/685,485, entitled METHODS AND SYSTEMS FOR MANAGING DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 26 Nov. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/685,609, entitled METHODS AND SYSTEMS FOR MANAGING DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 26 Nov. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/685,488, entitled METHODS AND SYSTEMS FOR MANAGING DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 26 Nov. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/685,612, entitled METHODS AND SYSTEMS FOR MANAGING DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 26 Nov. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/685,491, entitled METHODS AND SYSTEMS FOR MANAGING DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 26 Nov. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/685,613, entitled METHODS AND SYSTEMS FOR MANAGING DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 26 Nov. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/692,829, entitled METHODS AND SYSTEMS FOR MANAGING DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 3 Dec. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     For purposes of the USPTO extra-statutory requirements, the present application constitutes a continuation-in-part of U.S. patent application Ser. No. 13/692,882, entitled METHODS AND SYSTEMS FOR MANAGING DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 3 Dec. 2012, which is currently co-pending or is an application of which a currently co-pending application is entitled to the benefit of the filing date. 
     RELATED APPLICATIONS 
     U.S. patent application Ser. No. 13/731,947, entitled METHODS AND SYSTEMS FOR MANAGING ONE OR MORE SERVICES AND/OR DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     U.S. patent application Ser. No. 13/731,641, entitled METHODS AND SYSTEMS FOR MANAGING SERVICES AND DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     U.S. patent application Ser. No. 13/731,960, entitled METHODS AND SYSTEMS FOR MANAGING SERVICES AND DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     U.S. patent application Ser. No. 13/731,968, entitled METHODS AND SYSTEMS FOR MANAGING DATA AND/OR SERVICES FOR DEVICES, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     U.S. patent application Ser. No. 13/732,127, entitled METHODS AND SYSTEMS FOR MANAGING DATA AND/OR SERVICES FOR DEVICES, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     U.S. patent application Ser. No. 13/732,305, entitled METHODS AND SYSTEMS FOR MONITORING AND/OR MANAGING DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     U.S. patent application Ser. No. 13/732,326, entitled METHODS AND SYSTEMS FOR MONITORING AND/OR MANAGING DEVICE DATA, naming Edward K. Y. Jung, Royce A. Levien, Richard T. Lord, Robert W. Lord, and Mark A. Malamud as inventors, filed 31 Dec. 2012, is related to the present application. 
     The United States Patent Office (USPTO) has published a notice to the effect that the USPTO&#39;s computer programs require that patent applicants reference both a serial number and indicate whether an application is a continuation, continuation-in-part, or divisional of a parent application. Stephen G. Kunin, Benefit of Prior-Filed Application, USPTO Official Gazette Mar. 18, 2003. The USPTO further has provided forms for the Application Data Sheet which allow automatic loading of bibliographic data but which require identification of each application as a continuation, continuation-in-part, or divisional of a parent application. The present Applicant Entity (hereinafter “Applicant”) has provided above a specific reference to the application(s) from which priority is being claimed as recited by statute. Applicant understands that the statute is unambiguous in its specific reference language and does not require either a serial number or any characterization, such as “continuation” or “continuation-in-part,” for claiming priority to U.S. patent applications. Notwithstanding the foregoing, Applicant understands that the USPTO&#39;s computer programs have certain data entry requirements, and hence Applicant has provided designation(s) of a relationship between the present application and its parent application(s) as set forth above and in any ADS filed in this application, but expressly points out that such designation(s) are not to be construed in any way as any type of commentary and/or admission as to whether or not the present application contains any new matter in addition to the matter of its parent application(s). 
     If the listings of applications provided above are inconsistent with the listings provided via an ADS, it is the intent of the Applicant to claim priority to each application that appears in the Priority Applications section of the ADS and to each application that appears in the Priority Applications section of this application. 
     All subject matter of the Priority Applications and the Related Applications and of any and all parent, grandparent, great-grandparent, etc. applications of the Priority Applications and the Related Applications, including any priority claims, is incorporated herein by reference to the extent such subject matter is not inconsistent herewith. 
     BACKGROUND 
     This application is related to data services for devices. 
     SUMMARY 
     In one or more various aspects, a method includes but is not limited to acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices, acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, and offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the disclosure set forth herein. 
     In one or more various aspects, one or more related systems may be implemented in machines, compositions of matter, or manufactures of systems, limited to patentable subject matter under 35 U.S.C. 101. The one or more related systems may include, but are not limited to, circuitry and/or programming for effecting the herein-referenced method aspects. The circuitry and/or programming may be virtually any combination of hardware, software, and/or firmware configured to effect the herein-referenced method aspects depending upon the design choices of the system designer, and limited to patentable subject matter under 35 USC 101. 
     In one or more various aspects, a system includes, but is not limited to, means for acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices, means for acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, and means for offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. In addition to the foregoing, other system aspects are described in the claims, drawings, and text forming a part of the disclosure set forth herein. 
     In one or more various aspects, a system includes, but is not limited to, circuitry for acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices, circuitry for acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, and circuitry for offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. In addition to the foregoing, other system aspects are described in the claims, drawings, and text forming a part of the disclosure set forth herein. 
     In one or more various aspects, a computer program product, comprising a signal bearing medium, bearing one or more instructions including, but not limited to, one or more instructions for acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices, one or more instructions for acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, and one or more instructions for offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. In addition to the foregoing, other computer program product aspects are described in the claims, drawings, and text forming a part of the disclosure set forth herein. 
     In one or more various aspects, a device is defined by a computational language, such that the device comprises one or more interchained physical machines ordered for acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices, one or more interchained physical machines ordered for acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, and one or more interchained physical machines ordered for offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. 
     In addition to the foregoing, various other method and/or system and/or program product aspects are set forth and described in the teachings such as text (e.g., claims and/or detailed description) and/or drawings of the present disclosure. 
     The foregoing is a summary and thus may contain simplifications, generalizations, inclusions, and/or omissions of detail; consequently, those skilled in the art will appreciate that the summary is illustrative only and is NOT intended to be in any way limiting. Other aspects, features, and advantages of the devices and/or processes and/or other subject matter described herein will become apparent by reference to the detailed description, the corresponding drawings, and/or in the teachings set forth herein. 
    
    
     
       BRIEF DESCRIPTION OF THE FIGURES 
       For a more complete understanding of embodiments, reference now is made to the following descriptions taken in connection with the accompanying drawings. The use of the same symbols in different drawings typically indicates similar or identical items, unless context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented here. 
         FIG. 1A  shows a high-level block diagram of an exemplary environment  100 , according to an embodiment. 
         FIG. 1B  shows a high-level block diagram of a service provider device  170  operating in an exemplary environment  100 , according to an embodiment. 
         FIG. 1C  shows a high level block diagram of a computing device  130 A operating in an exemplary embodiment  100 ′, according to an embodiment. 
         FIG. 1D  shows a high-level block diagram of a computing device  130 B operating in an exemplary embodiment  100 ″, according to an embodiment. 
         FIG. 1E  shows a high-level block diagram of a computing device  130 C operating in an exemplary embodiment  100 ′″, according to an embodiment. 
         FIG. 1F  shows a high-level block diagram of a computing device  130 D operating in an exemplary embodiment  100 ″″, according to an embodiment. 
         FIG. 2 , including  FIGS. 2A-2C , shows a particular perspective of an obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices acquiring module  152  of processing module  150  of service provider device  170  of  FIG. 1B , according to an embodiment. 
         FIG. 3 , including  FIGS. 3A-3E , shows a particular perspective of a one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that avoids particular identification module  154  of processing module  150  of service provider device  170  of  FIG. 1B , according to an embodiment. 
         FIG. 4 , including  FIGS. 4A-4D , shows a particular perspective of an acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  156  of processing module  150  of service provider device  170  of  FIG. 1B , according to an embodiment. 
         FIG. 5  is a high-level logic flowchart of a process, e.g., operational flow  500 , according to an embodiment. 
         FIG. 6A  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring obscured data operation  502 , according to one or more embodiments. 
         FIG. 6B  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring obscured data operation  502 , according to one or more embodiments. 
         FIG. 6C  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring obscured data operation  502 , according to one or more embodiments. 
         FIG. 7A  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring one or more services operation  504 , according to one or more embodiments. 
         FIG. 7B  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring one or more services operation  504 , according to one or more embodiments. 
         FIG. 7C  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring one or more services operation  504 , according to one or more embodiments. 
         FIG. 7D  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring one or more services operation  504 , according to one or more embodiments. 
         FIG. 7E  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring one or more services operation  504 , according to one or more embodiments. 
         FIG. 7F  is a high-level logic flow chart of a process depicting alternate implementations of an acquiring one or more services operation  504 , according to one or more embodiments. 
         FIG. 8A  is a high-level logic flow chart of a process depicting alternate implementations of a facilitating performance of at least a portion of the at least one service operation  506 , according to one or more embodiments. 
         FIG. 8B  is a high-level logic flow chart of a process depicting alternate implementations of a facilitating performance of at least a portion of the at least one service operation  506 , according to one or more embodiments. 
         FIG. 8C  is a high-level logic flow chart of a process depicting alternate implementations of a facilitating performance of at least a portion of the at least one service operation  506 , according to one or more embodiments. 
         FIG. 8D  is a high-level logic flow chart of a process depicting alternate implementations of a facilitating performance of at least a portion of the at least one service operation  506 , according to one or more embodiments. 
     
    
    
     DETAILED DESCRIPTION 
     In the following detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols typically identify similar or identical components or items, unless context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented here. 
     Thus, in accordance with various embodiments, computationally implemented methods, systems, circuitry, articles of manufacture, ordered chains of matter, and computer program products are designed to, among other things, provide an interface for acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices, acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, and offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. 
     The claims, description, and drawings of this application may describe one or more of the instant technologies in operational/functional language, for example as a set of operations to be performed by a computer. Such operational/functional description in most instances would be understood by one skilled the art as specifically-configured hardware (e.g., because a general purpose computer in effect becomes a special purpose computer once it is programmed to perform particular functions pursuant to instructions from program software). 
     Importantly, although the operational/functional descriptions described herein are understandable by the human mind, they are not abstract ideas of the operations/functions divorced from computational implementation of those operations/functions. Rather, the operations/functions represent a specification for the massively complex computational machines or other means. As discussed in detail below, the operational/functional language must be read in its proper technological context, i.e., as concrete specifications for physical implementations. 
     The logical operations/functions described herein are a distillation of machine specifications or other physical mechanisms specified by the operations/functions such that the otherwise inscrutable machine specifications may be comprehensible to the human mind. The distillation also allows one of skill in the art to adapt the operational/functional description of the technology across many different specific vendors&#39; hardware configurations or platforms, without being limited to specific vendors&#39; hardware configurations or platforms. 
     Some of the present technical description (e.g., detailed description, drawings, claims, etc.) may be set forth in terms of logical operations/functions. As described in more detail in the following paragraphs, these logical operations/functions are not representations of abstract ideas, but rather representative of static or sequenced specifications of various hardware elements. Differently stated, unless context dictates otherwise, the logical operations/functions will be understood by those of skill in the art to be representative of static or sequenced specifications of various hardware elements. This is true because tools available to one of skill in the art to implement technical disclosures set forth in operational/functional formats—tools in the form of a high-level programming language (e.g., C, java, visual basic), etc.), or tools in the form of Very high speed Hardware Description Language (“VHDL,” which is a language that uses text to describe logic circuits)—are generators of static or sequenced specifications of various hardware configurations. This fact is sometimes obscured by the broad term “software,” but, as shown by the following explanation, those skilled in the art understand that what is termed “software” is a shorthand for a massively complex interchaining/specification of ordered-matter elements. The term “ordered-matter elements” may refer to physical components of computation, such as assemblies of electronic logic gates, molecular computing logic constituents, quantum computing mechanisms, etc. 
     For example, a high-level programming language is a programming language with strong abstraction, e.g., multiple levels of abstraction, from the details of the sequential organizations, states, inputs, outputs, etc., of the machines that a high-level programming language actually specifies. See, e.g., Wikipedia, High-level programming language, http://en.wikipedia.org/wiki/High-level_programming_language (as of Jun. 5, 2012, 21:00 GMT). In order to facilitate human comprehension, in many instances, high-level programming languages resemble or even share symbols with natural languages. See, e.g., Wikipedia, Natural language, http://en.wikipedia.org/wiki/Natural_language (as of Jun. 5, 2012, 21:00 GMT). 
     It has been argued that because high-level programming languages use strong abstraction (e.g., that they may resemble or share symbols with natural languages), they are therefore a “purely mental construct.” (e.g., that “software”—a computer program or computer programming—is somehow an ineffable mental construct, because at a high level of abstraction, it can be conceived and understood in the human mind). This argument has been used to characterize technical description in the form of functions/operations as somehow “abstract ideas.” In fact, in technological arts (e.g., the information and communication technologies) this is not true. 
     The fact that high-level programming languages use strong abstraction to facilitate human understanding should not be taken as an indication that what is expressed is an abstract idea. In fact, those skilled in the art understand that just the opposite is true. If a high-level programming language is the tool used to implement a technical disclosure in the form of functions/operations, those skilled in the art will recognize that, far from being abstract, imprecise, “fuzzy,” or “mental” in any significant semantic sense, such a tool is instead a near incomprehensibly precise sequential specification of specific computational machines—the parts of which are built up by activating/selecting such parts from typically more general computational machines over time (e.g., clocked time). This fact is sometimes obscured by the superficial similarities between high-level programming languages and natural languages. These superficial similarities also may cause a glossing over of the fact that high-level programming language implementations ultimately perform valuable work by creating/controlling many different computational machines. 
     The many different computational machines that a high-level programming language specifies are almost unimaginably complex. At base, the hardware used in the computational machines typically consists of some type of ordered matter (e.g., traditional electronic devices (e.g., transistors), deoxyribonucleic acid (DNA), quantum devices, mechanical switches, optics, fluidics, pneumatics, optical devices (e.g., optical interference devices), molecules, etc.) that are arranged to form logic gates. Logic gates are typically physical devices that may be electrically, mechanically, chemically, or otherwise driven to change physical state in order to create a physical reality of Boolean logic. 
     Logic gates may be arranged to form logic circuits, which are typically physical devices that may be electrically, mechanically, chemically, or otherwise driven to create a physical reality of certain logical functions. Types of logic circuits include such devices as multiplexers, registers, arithmetic logic units (ALUs), computer memory, etc., each type of which may be combined to form yet other types of physical devices, such as a central processing unit (CPU)—the best known of which is the microprocessor. A modern microprocessor will often contain more than one hundred million logic gates in its many logic circuits (and often more than a billion transistors). See, e.g., Wikipedia, Logic gates, http://en.wikipedia.org/wiki/Logic_gates (as of Jun. 5, 2012, 21:03 GMT). 
     The logic circuits forming the microprocessor are arranged to provide a microarchitecture that will carry out the instructions defined by that microprocessor&#39;s defined Instruction Set Architecture. The Instruction Set Architecture is the part of the microprocessor architecture related to programming, including the native data types, instructions, registers, addressing modes, memory architecture, interrupt and exception handling, and external Input/Output. See, e.g., Wikipedia, Computer architecture, http://en.wikipedia.org/wiki/Computer_architecture (as of Jun. 5, 2012, 21:03 GMT). 
     The Instruction Set Architecture includes a specification of the machine language that can be used by programmers to use/control the microprocessor. Since the machine language instructions are such that they may be executed directly by the microprocessor, typically they consist of strings of binary digits, or bits. For example, a typical machine language instruction might be many bits long (e.g., 32, 64, or 128 bit strings are currently common). A typical machine language instruction might take the form “11110000101011110000111100111111” (a 32 bit instruction). 
     It is significant here that, although the machine language instructions are written as sequences of binary digits, in actuality those binary digits specify physical reality. For example, if certain semiconductors are used to make the operations of Boolean logic a physical reality, the apparently mathematical bits “1” and “0” in a machine language instruction actually constitute shorthand that specifies the application of specific voltages to specific wires. For example, in some semiconductor technologies, the binary number “1” (e.g., logical “1”) in a machine language instruction specifies around +5 volts applied to a specific “wire” (e.g., metallic traces on a printed circuit board) and the binary number “0” (e.g., logical “0”) in a machine language instruction specifies around −5 volts applied to a specific “wire.” In addition to specifying voltages of the machines&#39; configuration, such machine language instructions also select out and activate specific groupings of logic gates from the millions of logic gates of the more general machine. Thus, far from abstract mathematical expressions, machine language instruction programs, even though written as a string of zeros and ones, specify many, many constructed physical machines or physical machine states. 
     Machine language is typically incomprehensible by most humans (e.g., the above example was just ONE instruction, and some personal computers execute more than two billion instructions every second). See, e.g., Wikipedia, Instructions per second, http://en.wikipedia.org/wiki/Instructions_per_second (as of Jun. 5, 2012, 21:04 GMT). Thus, programs written in machine language—which may be tens of millions of machine language instructions long—are incomprehensible. In view of this, early assembly languages were developed that used mnemonic codes to refer to machine language instructions, rather than using the machine language instructions&#39; numeric values directly (e.g., for performing a multiplication operation, programmers coded the abbreviation “mult,” which represents the binary number “011000” in MIPS machine code). While assembly languages were initially a great aid to humans controlling the microprocessors to perform work, in time the complexity of the work that needed to be done by the humans outstripped the ability of humans to control the microprocessors using merely assembly languages. 
     At this point, it was noted that the same tasks needed to be done over and over, and the machine language necessary to do those repetitive tasks was the same. In view of this, compilers were created. A compiler is a device that takes a statement that is more comprehensible to a human than either machine or assembly language, such as “add 2+2 and output the result,” and translates that human understandable statement into a complicated, tedious, and immense machine language code (e.g., millions of 32, 64, or 128 bit length strings). Compilers thus translate high-level programming language into machine language. 
     This compiled machine language, as described above, is then used as the technical specification which sequentially constructs and causes the interoperation of many different computational machines such that humanly useful, tangible, and concrete work is done. For example, as indicated above, such machine language—the compiled version of the higher-level language—functions as a technical specification which selects out hardware logic gates, specifies voltage levels, voltage transition timings, etc., such that the humanly useful work is accomplished by the hardware. 
     Thus, a functional/operational technical description, when viewed by one of skill in the art, is far from an abstract idea. Rather, such a functional/operational technical description, when understood through the tools available in the art such as those just described, is instead understood to be a humanly understandable representation of a hardware specification, the complexity and specificity of which far exceeds the comprehension of most any one human. With this in mind, those skilled in the art will understand that any such operational/functional technical descriptions—in view of the disclosures herein and the knowledge of those skilled in the art—may be understood as operations made into physical reality by (a) one or more interchained physical machines, (b) interchained logic gates configured to create one or more physical machine(s) representative of sequential/combinatorial logic(s), (c) interchained ordered matter making up logic gates (e.g., interchained electronic devices (e.g., transistors), DNA, quantum devices, mechanical switches, optics, fluidics, pneumatics, molecules, etc.) that create physical reality representative of logic(s), or (d) virtually any combination of the foregoing. Indeed, any physical object which has a stable, measurable, and changeable state may be used to construct a machine based on the above technical description. Charles Babbage, for example, constructed the first computer out of wood and powered by cranking a handle. 
     Thus, far from being understood as an abstract idea, those skilled in the art will recognize a functional/operational technical description as a humanly-understandable representation of one or more almost unimaginably complex and time sequenced hardware instantiations. The fact that functional/operational technical descriptions might lend themselves readily to high-level computing languages (or high-level block diagrams for that matter) that share some words, structures, phrases, etc. with natural language simply cannot be taken as an indication that such functional/operational technical descriptions are abstract ideas, or mere expressions of abstract ideas. In fact, as outlined herein, in the technological arts this is simply not true. When viewed through the tools available to those of skill in the art, such functional/operational technical descriptions are seen as specifying hardware configurations of almost unimaginable complexity. 
     As outlined above, the reason for the use of functional/operational technical descriptions is at least twofold. First, the use of functional/operational technical descriptions allows near-infinitely complex machines and machine operations arising from interchained hardware elements to be described in a manner that the human mind can process (e.g., by mimicking natural language and logical narrative flow). Second, the use of functional/operational technical descriptions assists the person of skill in the art in understanding the described subject matter by providing a description that is more or less independent of any specific vendor&#39;s piece(s) of hardware. 
     The use of functional/operational technical descriptions assists the person of skill in the art in understanding the described subject matter since, as is evident from the above discussion, one could easily, although not quickly, transcribe the technical descriptions set forth in this document as trillions of ones and zeroes, billions of single lines of assembly-level machine code, millions of logic gates, thousands of gate arrays, or any number of intermediate levels of abstractions. However, if any such low-level technical descriptions were to replace the present technical description, a person of skill in the art could encounter undue difficulty in implementing the disclosure, because such a low-level technical description would likely add complexity without a corresponding benefit (e.g., by describing the subject matter utilizing the conventions of one or more vendor-specific pieces of hardware). Thus, the use of functional/operational technical descriptions assists those of skill in the art by separating the technical descriptions from the conventions of any vendor-specific piece of hardware. 
     In view of the foregoing, the logical operations/functions set forth in the present technical description are representative of static or sequenced specifications of various ordered-matter elements, in order that such specifications may be comprehensible to the human mind and adaptable to create many various hardware configurations. The logical operations/functions disclosed herein should be treated as such, and should not be disparagingly characterized as abstract ideas merely because the specifications they represent are presented in a manner that one of skill in the art can readily understand and apply in a manner independent of a specific vendor&#39;s hardware implementation. 
     Those having skill in the art will recognize that the state of the art has progressed to the point where there is little distinction left between hardware, software, and/or firmware implementations of aspects of systems; the use of hardware, software, and/or firmware is generally (but not always, in that in certain contexts the choice between hardware and software can become significant) a design choice representing cost vs. efficiency tradeoffs. Those having skill in the art will appreciate that there are various vehicles by which processes and/or systems and/or other technologies described herein can be effected (e.g., hardware, software, and/or firmware), and that the preferred vehicle will vary with the context in which the processes and/or systems and/or other technologies are deployed. For example, if an implementer determines that speed and accuracy are paramount, the implementer may opt for a mainly hardware and/or firmware vehicle; alternatively, if flexibility is paramount, the implementer may opt for a mainly software implementation; or, yet again alternatively, the implementer may opt for some combination of hardware, software, and/or firmware in one or more machines, compositions of matter, and articles of manufacture, limited to patentable subject matter under 35 USC 101. Hence, there are several possible vehicles by which the processes and/or devices and/or other technologies described herein may be effected, none of which is inherently superior to the other in that any vehicle to be utilized is a choice dependent upon the context in which the vehicle will be deployed and the specific concerns (e.g., speed, flexibility, or predictability) of the implementer, any of which may vary. Those skilled in the art will recognize that optical aspects of implementations will typically employ optically-oriented hardware, software, and or firmware. 
     In some implementations described herein, logic and similar implementations may include software or other control structures. Electronic circuitry, for example, may have one or more paths of electrical current constructed and arranged to implement various functions as described herein. In some implementations, one or more media may be configured to bear a device-detectable implementation when such media hold or transmit device detectable instructions operable to perform as described herein. In some variants, for example, implementations may include an update or modification of existing software or firmware, or of gate arrays or programmable hardware, such as by performing a reception of or a transmission of one or more instructions in relation to one or more operations described herein. Alternatively or additionally, in some variants, an implementation may include special-purpose hardware, software, firmware components, and/or general-purpose components executing or otherwise invoking special-purpose components. Specifications or other implementations may be transmitted by one or more instances of tangible transmission media as described herein, optionally by packet transmission or otherwise by passing through distributed media at various times. 
     Alternatively or additionally, implementations may include executing a special-purpose instruction sequence or invoking circuitry for enabling, triggering, coordinating, requesting, or otherwise causing one or more occurrences of virtually any functional operations described herein. In some variants, operational or other logical descriptions herein may be expressed as source code and compiled or otherwise invoked as an executable instruction sequence. In some contexts, for example, implementations may be provided, in whole or in part, by source code, such as C++, or other code sequences. In other implementations, source or other code implementation, using commercially available and/or techniques in the art, may be compiled//implemented/translated/converted into a high-level descriptor language (e.g., initially implementing described technologies in C or C++ programming language and thereafter converting the programming language implementation into a logic-synthesizable language implementation, a hardware description language implementation, a hardware design simulation implementation, and/or other such similar mode(s) of expression). For example, some or all of a logical expression (e.g., computer programming language implementation) may be manifested as a Verilog-type hardware description (e.g., via Hardware Description Language (HDL) and/or Very High Speed Integrated Circuit Hardware Descriptor Language (VHDL)) or other circuitry model which may then be used to create a physical implementation having hardware (e.g., an Application Specific Integrated Circuit). Those skilled in the art will recognize how to obtain, configure, and optimize suitable transmission or computational elements, material supplies, actuators, or other structures in light of these teachings. 
     Those skilled in the art will recognize that it is common within the art to implement devices and/or processes and/or systems, and thereafter use engineering and/or other practices to integrate such implemented devices and/or processes and/or systems into more comprehensive devices and/or processes and/or systems. That is, at least a portion of the devices and/or processes and/or systems described herein can be integrated into other devices and/or processes and/or systems via a reasonable amount of experimentation. Those having skill in the art will recognize that examples of such other devices and/or processes and/or systems might include—as appropriate to context and application—all or part of devices and/or processes and/or systems of (a) an air conveyance (e.g., an airplane, rocket, helicopter, etc.), (b) a ground conveyance (e.g., a car, truck, locomotive, tank, armored personnel carrier, etc.), (c) a building (e.g., a home, warehouse, office, etc.), (d) an appliance (e.g., a refrigerator, a washing machine, a dryer, etc.), (e) a communications system (e.g., a networked system, a telephone system, a Voice over IP system, etc.), (f) a business entity (e.g., an Internet Service Provider (ISP) entity such as Comcast Cable, Qwest, Southwestern Bell, etc.), or (g) a wired/wireless services entity (e.g., Sprint, Cingular, Nextel, etc.), etc. 
     In certain cases, use of a system or method may occur in a territory even if components are located outside the territory. For example, in a distributed computing context, use of a distributed computing system may occur in a territory even though parts of the system may be located outside of the territory (e.g., relay, server, processor, signal-bearing medium, transmitting computer, receiving computer, etc. located outside the territory). 
     A sale of a system or method may likewise occur in a territory even if components of the system or method are located and/or used outside the territory. Further, implementation of at least part of a system for performing a method in one territory does not preclude use of the system in another territory 
     In a general sense, those skilled in the art will recognize that the various embodiments described herein can be implemented, individually and/or collectively, by various types of electro-mechanical systems having a wide range of electrical components such as hardware, software, firmware, and/or virtually any combination thereof, limited to patentable subject matter under 35 U.S.C. 101; and a wide range of components that may impart mechanical force or motion such as rigid bodies, spring or torsional bodies, hydraulics, electro-magnetically actuated devices, and/or virtually any combination thereof. Consequently, as used herein “electro-mechanical system” includes, but is not limited to, electrical circuitry operably coupled with a transducer (e.g., an actuator, a motor, a piezoelectric crystal, a Micro Electro Mechanical System (MEMS), etc.), electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of memory (e.g., random access, flash, read only, etc.)), electrical circuitry forming a communications device (e.g., a modem, communications switch, optical-electrical equipment, etc.), and/or any non-electrical analog thereto, such as optical or other analogs (e.g., graphene based circuitry). Those skilled in the art will also appreciate that examples of electro-mechanical systems include but are not limited to a variety of consumer electronics systems, medical devices, as well as other systems such as motorized transport systems, factory automation systems, security systems, and/or communication/computing systems. Those skilled in the art will recognize that electro-mechanical as used herein is not necessarily limited to a system that has both electrical and mechanical actuation except as context may dictate otherwise. 
     In a general sense, those skilled in the art will recognize that the various aspects described herein which can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, and/or any combination thereof can be viewed as being composed of various types of “electrical circuitry.” Consequently, as used herein “electrical circuitry” includes, but is not limited to, electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of memory (e.g., random access, flash, read only, etc.)), and/or electrical circuitry forming a communications device (e.g., a modem, communications switch, optical-electrical equipment, etc.). Those having skill in the art will recognize that the subject matter described herein may be implemented in an analog or digital fashion or some combination thereof. 
     Those skilled in the art will recognize that at least a portion of the devices and/or processes described herein can be integrated into an image processing system. Those having skill in the art will recognize that a typical image processing system generally includes one or more of a system unit housing, a video display device, memory such as volatile or non-volatile memory, processors such as microprocessors or digital signal processors, computational entities such as operating systems, drivers, applications programs, one or more interaction devices (e.g., a touch pad, a touch screen, an antenna, etc.), control systems including feedback loops and control motors (e.g., feedback for sensing lens position and/or velocity; control motors for moving/distorting lenses to give desired focuses). An image processing system may be implemented utilizing suitable commercially available components, such as those typically found in digital still systems and/or digital motion systems. 
     Those skilled in the art will recognize that at least a portion of the devices and/or processes described herein can be integrated into a data processing system. Those having skill in the art will recognize that a data processing system generally includes one or more of a system unit housing, a video display device, memory such as volatile or non-volatile memory, processors such as microprocessors or digital signal processors, computational entities such as operating systems, drivers, graphical user interfaces, and applications programs, one or more interaction devices (e.g., a touch pad, a touch screen, an antenna, etc.), and/or control systems including feedback loops and control motors (e.g., feedback for sensing position and/or velocity; control motors for moving and/or adjusting components and/or quantities). A data processing system may be implemented utilizing suitable commercially available components, such as those typically found in data computing/communication and/or network computing/communication systems. 
     Those skilled in the art will recognize that at least a portion of the devices and/or processes described herein can be integrated into a mote system. Those having skill in the art will recognize that a typical mote system generally includes one or more memories such as volatile or non-volatile memories, processors such as microprocessors or digital signal processors, computational entities such as operating systems, user interfaces, drivers, sensors, actuators, applications programs, one or more interaction devices (e.g., an antenna USB ports, acoustic ports, etc.), control systems including feedback loops and control motors (e.g., feedback for sensing or estimating position and/or velocity; control motors for moving and/or adjusting components and/or quantities). A mote system may be implemented utilizing suitable components, such as those found in mote computing/communication systems. Specific examples of such components entail such as Intel Corporation&#39;s and/or Crossbow Corporation&#39;s mote components and supporting hardware, software, and/or firmware. 
     For the purposes of this application, “cloud” computing may be understood as described in the cloud computing literature. For example, cloud computing may be methods and/or systems for the delivery of computational capacity and/or storage capacity as a service. The “cloud” may refer to one or more hardware and/or software components that deliver or assist in the delivery of computational and/or storage capacity, including, but not limited to, one or more of a client, an application, a platform, an infrastructure, and/or a server The cloud may refer to any of the hardware and/or software associated with a client, an application, a platform, an infrastructure, and/or a server. For example, cloud and cloud computing may refer to one or more of a computer, a processor, a storage medium, a router, a switch, a modem, a virtual machine (e.g., a virtual server), a data center, an operating system, a middleware, a firmware, a hardware back-end, a software back-end, and/or a software application. A cloud may refer to a private cloud, a public cloud, a hybrid cloud, and/or a community cloud. A cloud may be a shared pool of configurable computing resources, which may be public, private, semi-private, distributable, scaleable, flexible, temporary, virtual, and/or physical. A cloud or cloud service may be delivered over one or more types of network, e.g., a mobile communication network, and the Internet. 
     As used in this application, a cloud or a cloud service may include one or more of infrastructure-as-a-service (“IaaS”), platform-as-a-service (“PaaS”), software-as-a-service (“SaaS”), and/or desktop-as-a-service (“DaaS”). As a non-exclusive example, IaaS may include, e.g., one or more virtual server instantiations that may start, stop, access, and/or configure virtual servers and/or storage centers (e.g., providing one or more processors, storage space, and/or network resources on-demand, e.g., EMC and Rackspace). PaaS may include, e.g., one or more software and/or development tools hosted on an infrastructure (e.g., a computing platform and/or a solution stack from which the client can create software interfaces and applications, e.g., Microsoft Azure). SaaS may include, e.g., software hosted by a service provider and accessible over a network (e.g., the software for the application and/or the data associated with that software application may be kept on the network, e.g., Google Apps, SalesForce). DaaS may include, e.g., providing desktop, applications, data, and/or services for the user over a network (e.g., providing a multi-application framework, the applications in the framework, the data associated with the applications, and/or services related to the applications and/or the data over the network, e.g., Citrix). The foregoing is intended to be exemplary of the types of systems and/or methods referred to in this application as “cloud” or “cloud computing” and should not be considered complete or exhaustive. 
     One skilled in the art will recognize that the herein described components (e.g., operations), devices, objects, and the discussion accompanying them are used as examples for the sake of conceptual clarity and that various configuration modifications are contemplated. Consequently, as used herein, the specific exemplars set forth and the accompanying discussion are intended to be representative of their more general classes. In general, use of any specific exemplar is intended to be representative of its class, and the non-inclusion of specific components (e.g., operations), devices, and objects should not be taken limiting. 
     The herein described subject matter sometimes illustrates different components contained within, or connected with, different other components. It is to be understood that such depicted architectures are merely exemplary, and that in fact many other architectures may be implemented which achieve the same functionality. In a conceptual sense, any arrangement of components to achieve the same functionality is effectively “associated” such that the desired functionality is achieved. Hence, any two components herein combined to achieve a particular functionality can be seen as “associated with” each other such that the desired functionality is achieved, irrespective of architectures or intermedial components. Likewise, any two components so associated can also be viewed as being “operably connected”, or “operably coupled,” to each other to achieve the desired functionality, and any two components capable of being so associated can also be viewed as being “operably couplable,” to each other to achieve the desired functionality. Specific examples of operably couplable include but are not limited to physically mateable and/or physically interacting components, and/or wirelessly interactable, and/or wirelessly interacting components, and/or logically interacting, and/or logically interactable components. 
     To the extent that formal outline headings are present in this application, it is to be understood that the outline headings are for presentation purposes, and that different types of subject matter may be discussed throughout the application (e.g., device(s)/structure(s) may be described under process(es)/operations heading(s) and/or process(es)/operations may be discussed under structure(s)/process(es) headings; and/or descriptions of single topics may span two or more topic headings). Hence, any use of formal outline headings in this application is for presentation purposes, and is not intended to be in any way limiting. 
     Throughout this application, examples and lists are given, with parentheses, the abbreviation “e.g.,” or both. Unless explicitly otherwise stated, these examples and lists are merely exemplary and are non-exhaustive. In most cases, it would be prohibitive to list every example and every combination. Thus, smaller, illustrative lists and examples are used, with focus on imparting understanding of the claim terms rather than limiting the scope of such terms. 
     With respect to the use of substantially any plural and/or singular terms herein, those having skill in the art can translate from the plural to the singular and/or from the singular to the plural as is appropriate to the context and/or application. The various singular/plural permutations are not expressly set forth herein for sake of clarity. 
     One skilled in the art will recognize that the herein described components (e.g., operations), devices, objects, and the discussion accompanying them are used as examples for the sake of conceptual clarity and that various configuration modifications are contemplated. Consequently, as used herein, the specific exemplars set forth and the accompanying discussion are intended to be representative of their more general classes. In general, use of any specific exemplar is intended to be representative of its class, and the non-inclusion of specific components (e.g., operations), devices, and objects should not be taken limiting. 
     Although user  105  is shown/described herein, e.g., in  FIG. 1 , and other places, as a single illustrated figure, those skilled in the art will appreciate that user  105  may be representative of one or more human users, robotic users (e.g., computational entity), and/or substantially any combination thereof (e.g., a user may be assisted by one or more robotic agents) unless context dictates otherwise. Those skilled in the art will appreciate that, in general, the same may be said of “sender” and/or other entity-oriented terms as such terms are used herein unless context dictates otherwise. 
     In some instances, one or more components may be referred to herein as “configured to,” “configured by,” “configurable to,” “operable/operative to,” “adapted/adaptable,” “able to,” “conformable/conformed to,” etc. Those skilled in the art will recognize that such terms (e.g. “configured to”) generally encompass active-state components and/or inactive-state components and/or standby-state components, unless context requires otherwise. 
     In known systems, devices that are associated with one or more users, e.g., phones, tablets, laptops, desktops, cars, game systems, appliances, and the like, may collect data regarding the user. This data may be desired by third parties. The following describes, among other implementations, methods and systems of managing user data collected by one or more devices that may also be useful to entities that are not the user, and which entities may not necessarily have access to the data. 
     Referring now to  FIG. 1 ,  FIG. 1  illustrates an example environment  100  in which the methods, systems, circuitry, articles of manufacture, and computer program products and architecture, in accordance with various embodiments, may be implemented by one or more computing devices  130 . As shown in  FIG. 1A , one or more personal devices  120 , one or more service providers  170 , one or more service developers  160 , and one or more computing devices  130  may communicate via one or more communication networks  140 . In an embodiment, service provider  170  may have one or more services that personal device  120  may want. In an embodiment, computing device  130 , which may be a remote or local server, or distributed set of servers, may manage data that is gathered, stored, controlled, accessed, restricted, monitored, under the control of, checked, examined, verified, authenticated, authorized, manipulated, updated, altered, filtered, or otherwise acted upon, whether passively or actively, by personal device  20 . In an embodiment, as described in more detail herein, computing device  130  may have access to some or all of the data on personal device  120 . In another embodiment, computing device  130  may have access to only a portion of the data on personal device  120 . In still another embodiment, computing device  130  may have access to a modified version of the data on personal device  120 . Specifically, in an embodiment, computing device  20  may have access to the data stored on personal device  120 , but in anonymous form. 
     In an embodiment, computing device  130  may offer one or more services to personal device  120 . In an embodiment, the offer of one or more services may be conditional on a grant of access to part or all of the data stored and/or collected by personal device  120 . In an embodiment, computing device  130  may receive one or more services from service provider  170  and/or service developer  160 , and may select one or more of the received services for presentation to the personal device  120 . In an embodiment, the data from personal device  120  may be shared with one or more of service provider  170  and service developer  160 . In an embodiment, the data from personal device  120  may be anonymized prior to sharing with service developer  160  and/or service developer  170 . 
     Referring again to  FIG. 1A ,  FIG. 1A  shows a personal device  120 . Personal device  120  may be any electronic device, portable or not, that may be operated by or associated with one or more users. Personal device  120  is shown as interacting with a user  105 . As set forth above, user  105  may be a person, or a group of people, or another entity that mimics the operations of a user. In some embodiments, user  105  may be a computer or a computer-controlled device. Personal device  120  may be, but is not limited to, a cellular phone, a network phone, a smartphone, a tablet, a music player, a walkie-talkie, a radio, a USB drive, a portable solid state drive, a portable disc-type hard drive, an augmented reality device (e.g., augmented reality glasses and/or headphones), earphones, headphones, audio/visual equipment, media player, television, projection screen, flat screen, monitor, clock, appliance (e.g., microwave, convection oven, stove, refrigerator, freezer), a navigation system (e.g., a Global Positioning System (“GPS”) system), a medical alert device, a remote control, a peripheral, an electronic safe, an electronic lock, an electronic security system, a video camera, a personal video recorder, a personal audio recorder, and the like. 
     Referring again to  FIG. 1A , personal device  120  may include an operating system  124 . In this context, operating system  124  refers to any hardware, software, firmware, and combination thereof which is considered at the core or baseline of a device. For example, applications that interact directly with hardware may be considered to be part of an operating system. In some embodiments, operating system  124  may be an FPGA, printed circuit board, or other wired device. In an embodiment, operating system  124  may include one or more of Google&#39;s Android, Apple&#39;s iOS, Microsoft&#39;s Windows, various implementations of Linux, and the like. In some embodiments, operating system  124  may include a root menu for one or more televisions, stereo systems, media players, and the like. In some embodiments, operating system  124  may be a “home” screen of a device. 
     Referring again to  FIG. 1A , in an embodiment, personal device  20  may include a user interface  123 . User interface  123  may include any hardware, software, firmware, and combination thereof that allow a user  105  to interact with a personal device  120 , and for a personal device  120  to interact with a user  105 . In some embodiments, user interface  123  may include a monitor, screen, touchscreen, liquid crystal display (“LCD”) screen, light emitting diode (“LED”) screen, speaker, handset, earpiece, keyboard, keypad, touchpad, mouse, trackball, remote control, button set, microphone, video camera, still camera, a charge-coupled device (“CCD”) element, a photovoltaic element, and the like. 
     Referring again to  FIG. 1A , in some embodiments, personal device  120  may include a device memory  126 . In some embodiments, device memory  126  may include memory, random access memory (“RAM”), read only memory (“ROM”), flash memory, hard drives, disk-based media, disc-based media, magnetic storage, optical storage, volatile memory, nonvolatile memory, and any combination thereof. In some embodiments, device memory  126  may be separated from the device, e.g., available on a different device on a network, or over the air. For example, in a networked system, there may be many personal devices  120  whose device memory  126  is located at a central server that may be a few feet away or located across an ocean. 
     Referring again to  FIG. 1A , in some embodiments, device memory  126  may include one or more of protected data  126 A and unprotected data  126 B. Not all embodiments include each or both of these, but protected data  126 A and unprotected data  126 B may be present in one or more embodiments. Protected data  126 A may include any data, including data stored on personal device  120 , data for which personal device  120  maintains at least partial control of, data for which personal device  120  monitors or provides the ability to monitor, and the like, for which some form of authorization is required to access the data. The authorization may take any form and relate to any sub-unit, including both internally and externally to the device. For example, in an embodiment, protected data  126 A may include data which is not available to at least one application running on a computing device. For another example, in an embodiment, protected data  126 A may be available to one application at any time, and to another application at specific times, or at times when the first application is not using the data. In an embodiment, protected data  126 A includes data for which an application must be authenticated (e.g., a Microsoft operating system certification, or a user flag set to true) in order to access the protected data  126 A. 
     In an embodiment, protected data  126 A includes data that a user, e.g., user  105 , cannot view until the user  105  verifies their identity, e.g., through a password input or biometric identification. In an embodiment, protected data  126 A is limited to the device, and is not transmitted to any other system not under the direct control of the personal device  120 . In an embodiment, protected data  126 A is limited to the personal device  120 , and only applications originating at the personal device  120 , or originating with the user  105 , are allowed to read protected data  126 A. In an embodiment, personal device  120  modifies or directs to be modified protected data  126 A, so at least a portion of the protected data  126 A is altered or obscured. In an embodiment, personal device  120  allows protected data  126 A to be transmitted to an external entity under the condition that the external entity will alter or obscure at least a portion of the protected data  126 A. 
     Referring again to  FIG. 1A , in an embodiment, personal device  120  may include device memory  126 , which, in some embodiments, may include unprotected data  26 B. In an embodiment, unprotected data  126 B may have no protections or limitations. In another embodiment, unprotected data  126 B may have protections and limitations, but be less protected and/or less limited than protected data  126 B. In an embodiment, unprotected data  126 B is broadcasted or otherwise transmitted upon request. In an embodiment, unprotected data  126 B cannot be accessed by an entity external to personal device  120  due to device design or other factors, but there is no specific protection on unprotected data  126 B from access by one or more entities external to personal device  20 . 
     Referring again to  FIG. 1A , in an embodiment, personal device  120  may include device interface component  128 . In an embodiment, device interface component  128  includes any component that allows the device to interact with its environment. For example, in an embodiment, device interface component  128  includes one or more sensors, e.g., a camera, a microphone, an accelerometer, a thermometer, a satellite positioning system (SPS) sensor, a barometer, a humidity sensor, a compass, a gyroscope, a magnetometer, a pressure sensor, an oscillation detector, a light sensor, an inertial measurement unit (IMU), a tactile sensor, a touch sensor, a flexibility sensor, a microelectromechanical system (MEMS), a radio, including a wireless radio, a transmitter, a receiver, an emitter, a broadcaster, and the like. In an embodiment, device interface component  128  also may include one or more user interface components, e.g., user interface  122  (e.g., although they are drawn separately, in some embodiments, user interface  122  is a type of device interface component  128 ), and in some embodiments including one or more user input receiving components and output presenting components. 
     Referring again to  FIG. 1A , in an embodiment, device interface component  128  may include protected component  128 A. Protected component  128 A may include any device interface component  128 , of which some non-limiting examples previously were enumerated, for which some form of authorization and/or authentication is required to access the data. The authorization may take any form and relate to any sub-unit, including both internally and externally to the device. In an embodiment, protected component  128 A is similar to protected data  126 A. For example, in an embodiment, a personal device  120 , e.g., a smart phone, may have twelve applications running on the smartphone. In an embodiment, six of those applications may have access to a protected component  128 A, e.g., a positioning sensor, and the other six may not. In some embodiments, data collected by a protected component  128 A is part of the protected component  128 A. In some embodiments, data collected by a protected component  128 A becomes protected data  126 A. In some embodiments, data collected by a protected component  128 A becomes protected data  126 A some of the time, or none of the time. In some embodiments, data collected by a protected component  128 A may be part of protected component  128 A for a particular amount of time, e.g., two weeks, and then may transition to unprotected data or data that is not considered protected or unprotected. In some embodiments, a protected component  128 A may be accessible to everyone at particular times and/or circumstances. For example, a protected component  128 A, e.g., a wireless radio, may be accessible to any entity between the hours of 7 and 8 pm, and only accessible to specific entities and/or applications at other times. In some embodiments, a protected component  128 A, e.g., an image capturing component, may be accessible to any entity when one or more conditions are met, which conditions may or may not be related to the protected component  128 A or the personal device  120 , e.g., when the personal device  120  is at a particular location. 
     Referring again to  FIG. 1A , in some embodiments, computing device  130  may include personal device interface module  132 . In some embodiments, personal device interface module  132  may communicate with one or more personal devices  120 . In some embodiments, personal device interface module  132  may receive data  131  received from a personal device  120 . Acquired personal device data  131  may include any data gathered from personal device  120 , in any manner. In some embodiments, computing device  130  may request data from personal device  120 . In some embodiments, computing device  130  may receive data from personal device  120  on a schedule. In some embodiments, computing device  130  may retrieve data from personal device  120  when certain conditions are met. In some embodiments, personal device  120  is broadcasting data, and computing device  130  gathers the broadcasted data. In some embodiments, personal device  120  broadcasts data that only computing device  130  can use (e.g., decrypt, interpret, or the like). In some embodiments, personal device  120  may transmit acquired personal device data  131  to computing device  130  using one or more communication networks  140 , which will be described in more detail herein. 
     Referring again to  FIG. 1A , in some embodiments, the acquired personal device data  131  may be anonymous data  131 A. In an embodiment, anonymous data refers to data from which the origin of the data cannot be uniquely identified. In some embodiments, the origin of the data may refer to the personal device  120 , e.g., a unique identifier, e.g., a MAC address. In some embodiments, the origin of the data may refer to a user  105  associated with the data, either through ownership, use, or other relationship with the device, e.g., a username, a user&#39;s name, or a user&#39;s social security or other identifying number, or network address or identification. It is noted that, in some embodiments, the device may be able to recognize the origin of the data, e.g., an identity of personal device  120 , that is transmitting the data due to the nature of the data transmission, but be unable to deduce the origin of the data through the data itself, in which case, in some embodiments, this data is still considered anonymous data  131 A. 
     Anonymous data  131 A may include data for which uniquely identifying information has been removed, or data for which uniquely identifying information has been concealed, obscured, made uncertain, made ambiguous, screened, camouflaged, masked, veiled, shrouded, hidden, encoded, encrypted, or otherwise altered. In some embodiments, the received anonymous data  131 A never included uniquely identifying information. In some embodiments, anonymous data  131 A may partially or non-uniquely identify its origin, e.g., the user  105  or the personal device  120  from which the anonymous data came. In some embodiments, uniquely identifying information may be extracted from anonymous data  131 A using additional information, e.g., a lookup table, hash, or other known algorithm. In some embodiments, uniquely identifying information may be deduced from anonymous data  131 A without additional information. In some embodiments, uniquely identifying information may not be retrieved from anonymous data  131 A once the data is in its anonymous format. 
     In an embodiment, acquired personal device data  131  may include non-anonymous data  131 B. In some embodiments, non-anonymous data  131 B may identify, either explicitly or implicitly, the origin of the data. In some embodiments, the origin of the data may refer to the personal device  120 , e.g., a unique identifier, e.g., a MAC address. In some embodiments, the origin of the data may refer to a user  105  associated with the data, either through ownership, use, or other relationship with the device, e.g., a username, a user&#39;s name, or a user&#39;s social security or other identifying number, or network address or identification. 
     Referring to  FIGS. 1A-1D , data anonymization systems and methods are illustrated. Although these systems and methods are illustrated as part of computing device  130 , this is merely for convenience of drawing. In an embodiment, one or more of data de-anonymization information storing module  135 , data anonymizer module  134 A, and data obscuring module  134 B may be located within personal device  120 . In an embodiment, these modules may interact directly with device memory  126 . In an embodiment, as pictured in  FIG. 1A , computing device  130  may include a data anonymizer module  134 A that converts non-anonymous data  131 B into anonymized data, in a process described in more detail with respect to  FIGS. 1C and 1D . In an embodiment, depending on the type of anonymization, there may be additional data that can be used to return the anonymized data into non-anonymous data, e.g., a lookup table. In some such embodiments, the additional data, e.g., de-anonymization data, may be stored in data de-anonymization information storing module  135 . 
     Referring again to  FIGS. 1A-1D , in an embodiment, computing device  130  may include a data obscuring module  134 B. For example, in an embodiment, data obscuring module  134 B may obscure the non-anonymous data  131 B, similarly to the data anonymizer module  134 A. For example, in an embodiment, data obscuring module  134 B may apply data masking. In an embodiment, data obscuring module  134 B may obscure by addition, e.g., by adding false identification information to the true identification information, so that the false identification information may not be distinguished from the true identification information. Data de-anonymization information storing module  135 , data anonymizer module  134 A, and data obscuring module  134 B may be absent in some embodiments. 
     Referring again to  FIG. 1A , in an embodiment, computing device  130  may include service developer interface module  136 . Service developer interface module  136  may communicate with service developer  160 , e.g., via communication network  140 . Specifically, in an embodiment, service developer interface module  136  may provide limited information regarding the acquired personal device data  131 . In an embodiment, for example, service developer interface module  136  may provide information to service developer  160  regarding the type of data collected. In an embodiment, for example, service developer interface module  136  may provide information to service developer  160  regarding an aggregate synopsis of the data collected. In an embodiment, service developer  160  may receive such information and make a decision about what types of services to develop, e.g., using development decision module  162 . 
     Referring again to  FIG. 1A , in an embodiment, computing device  130  may include service provider interface module  138 . In an embodiment, service provider interface module  138  may communicate with service provider  170 , e.g., via communication network  140 . 
     In an embodiment, service provider interface module  138  may include data rights management module  138 A. In an embodiment, data rights management module  138 A may keep track of which services have rights to which personal device data. For example, in an embodiment, service  172 A may have rights to certain anonymous data  131 A. For another example, in an embodiment, service  172 B may have rights to data that has been processed through the data anonymizer  134 A. 
     Referring again to  FIG. 1A , in an embodiment, service provider interface module  138  may include service information module  138 B. Service information module  138 B may include a list of services that are provided from service provider  170 , so that such information may be delivered to personal device  120 , in an embodiment. In an embodiment, computing device  130  may present one or more of the services listed in service information module  138 B to personal device  120 , either upon request, or upon detecting that personal device  120  may be interested in one or more of the services. 
     Referring again to  FIG. 1A , in an embodiment, service provider  170  may provide services to a personal device  120 . In an embodiment, these services may be delivered to directly to personal device  120 . In an embodiment, service provider  170  has limited or no communication with personal device  120 , and communication is handled through an intermediary, e.g., computing device  130 . In an embodiment, computing device  130  handles the delivery of services and data between service provider  170  and personal device  120  such that protected data  126 A and protected component  128 A are protected from service provider  170 , but that service provider  170  can still provide services, e.g., service  172 A and service  172 B, to personal device  120 . In an embodiment, service provider  170  includes a list of services management module  174  that maintains a list of services to present to computing device  130 , e.g., to allow service information module  138 B of computing device  130  to maintain information about various services. 
     In various embodiments, the communication network  140  may include one or more of a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), a wireless local area network (WLAN), a personal area network (PAN), a Worldwide Interoperability for Microwave Access (WiMAX), public switched telephone network (PTSN), a general packet radio service (GPRS) network, a cellular network, and so forth. The communication networks  140  may be wired, wireless, or a combination of wired and wireless networks. It is noted that “communication network” as used herein and in the drawings refers to one or more communication networks, which may or may not interact with each other and which, in some embodiments, may work in concert, wittingly or unwittingly, to facilitate communication between one or more entities. 
     Referring now to  FIG. 1C , an embodiment may include a personal device  120 A and a personal device  120 B. Personal device  120 A may generate non-anonymous data  144 A, and personal device  120 B may generate non-anonymous data  144 B. Non anonymous data  144 A and non-anonymous data  144 B may be transmitted to computing device  130 A, which may be a non-exclusive and non-limiting example of computing device  130 . In an embodiment, computing device  130 A may include a data anonymizer module  134 A. In an embodiment, data anonymizer module  134 A may include irreversible anonymizer module  137 A, which generates anonymous data that is irreversible, e.g., in an example, the identifying data has been removed. In an embodiment, data anonymizer module  134 A may include collective anonymizer module  137 B, which may take the non-anonymous data  144 A and the non-anonymous data  144 B and create an aggregated, general anonymous data, as shown  FIG. 1C . In an embodiment, data anonymizer module  134 A may include reversible anonymizer module  137 C, which may use a private lookup table  135 A to convert the non-anonymous data into anonymous data. In an embodiment, that private lookup table  135 A may be stored in the data-deanonymization information storing module  135 . 
     Referring now to  FIG. 1D , in an embodiment, a computing device  130 B may have a data anonymizer  134 A that may apply an anonymizing function  132 A, as shown in  FIG. 1D . For example, an anonymizing function may use a cryptographic method, a perturbation method, a DataFly algorithm, top-down specialization, and/or Mondarian multi-dimensional k-anonymity, as non-limiting and non-exclusive examples. In another embodiment, a data obscuring module  134 B obscures the non-anonymous data. In an embodiment, the obscuring may be accomplished by adding similar-looking and plausible “false” data to the actual identifying data, so that later, the true data cannot be determined merely by looking at the data. In an embodiment, the anonymized data may be used by the service provider interface module  38  to give data to the service provider  170 , either to carry out a portion of a service, or to determine which services may be useful to one or more personal devices  120 . 
     The examples shown in  FIGS. 1C and 1D  are merely examples of how a data anonymizer might be implemented, and are not intended to be limiting or exclusive. There are many other techniques for anonymizing the data, some of which will be mentioned herein. 
     Referring now to  FIG. 1E ,  FIG. 1E  shows an embodiment of the invention focusing on a service provider  170  and a computing device  130 C. Computing device  130 C may receive data from one or more devices, and that data may be anonymized already, or may not be anonymized, or may already be obscured. In an embodiment, computing device  130 C may generate obscured data from the data received from one or more devices, whether received directly from the one or more devices, or indirectly from another source. In an embodiment, Computing device  130 C may obscure received data, even if the received data is already anonymized. In another embodiment, computing device  130 C may not perform additional steps on previously anonymized or obscured data. 
     Referring again to  FIG. 1E , in an embodiment, computing device  130 C may request one or more services  190  that may be executed on one or more devices. The one or more services may be performed independently by the one or more devices, or may be performed with facilitation of one or more portions of the services by computing device  130 C. Computing device  130 C may request that service provider  170  provide one or more services that can be presented to the one or more devices. In an embodiment, computing device  130 C may transmit obscured data  185  to service provider  170 . This transmission may take place via any form of network, e.g., communication network  140  (not pictured in  FIG. 1E ). In an embodiment, service provider  170  may be integral with computing device  130 C. In an embodiment, service provider  170  and computing device  130 C may be under the control of a single entity. 
     Referring again to  FIG. 1E , in an embodiment, service provider  170  may receive the obscured data  185 . The obscured data  185  may be in any format, as described in several examples herein. The examples illustrated in  FIG. 1E  and in the following figures are intended for ease of understanding only, and should not be considered an exhaustive or an exclusive enumeration of ways that data may be obscured. For example, in an embodiment, irreversible anonymous data  185 A may be obscured by deleting the device origin information from the data, such that the data cannot be recovered using the irreversible anonymous data  185 A. In order to obtain the original device information that formed the irreversible anonymous data  185 A, a copy of the original data may be retrieved. For example, in an embodiment, computing device  130 C may store a separate copy of the data that resulted in the irreversible anonymous data  185 A, with uniquely identifying device information present in the copy kept by computing device  130 C. 
     In an embodiment, obscured data  185  may include reversible anonymous data  185 B. Data  185 B is not limited to a particular type of format, but a simple example is shown. In the example, the device identifiers of the one or more personal devices  120 A and  120 B, e.g.,  00123  and  00124 , are converted to new identifiers XYZ and YYZ (e.g., as shown in  FIG. 1C ), which, in an embodiment, may prevent service provider  170  from learning the identity of devices  00123  and  00124 . In an embodiment, reversible anonymous data  185 B may be converted into data that uniquely identifies one or more devices, through the providing of one or more algorithms, lookup tables, keys, encryption keys, hash functions, and the like. 
     In an embodiment, obscured data  185  may include general anonymous data  185 C. In an embodiment, this type of data may include any format of aggregated data which gives information about one or more devices, but does not particularly identify the one or more devices that led to the aggregate information. For example, general anonymous data  185 C may include such data as “thirty-five devices with more than twenty contacts in a contact list found,” or more specific data, such as “thirty-five smartphones, e.g., Apple iPhone 4S running iOS 6.0, with more than 2.0 gigabytes of space remaining, with more than twenty contacts in a contact list found.” 
     Referring again to  FIG. 1E , in an embodiment, service provider  170  may receive obscured data  185 , as shown in  FIG. 1E . In an embodiment, service provider  170  may include an obscured data analyzer module  173 . Obscured data analyzer module  173  may receive the obscured data  185  and use the obscured data  185  to determine one or more services or types of services that may be useful to the devices referenced in the obscured data  185 . Obscured data analyzer module  173  may be completely automated, or may have some human intervention in the process. In an embodiment, obscured data analyzer  173  may obtain obscured data  185  from several different computing devices  130 C, which may allow service provider  170  to provide one or more services more efficiently. In an embodiment, service provider  170  may include service management module  174 . Service management module  174  may include existing service analyzing module  174 A and new service generation module  174 B. Existing service analyzing module  174 A and new service generation module  174 B may work together or separately, and with or without obscured data analyzer module  173 , to determine if a service exists that meets the needs determined based on the received obscured data. If such a service does not exist, then new service generation module  174 B may generate a new service, either by requesting from a third party, requesting human intervention, e.g., human programming of a new service, or may generate a new service automatically. 
     In an embodiment, service provider  170  may include a service transmission module  175 , which may transmit one or more services  186  back to the computing device  130 C, e.g., to service receiving module  138 B, which, in an embodiment, may be a portion of service provider interface module  138 . In various embodiments, once one or more actions are taken with respect to receiving the one or more services  186 , deobscuring data  187 , which may be data that can deobscure the obscured data  185 , may be transmitted to the service provider  170 , e.g., to data deobscuring module  176  of service provider  170 . In an embodiment, deobscuring data  187  is combined with obscured data  185  to result in deobscured data. In another embodiment, deobscuring data  187  does not need to be combined with obscured data  185  in order to result in the deobscured data. In an embodiment, deobscuring data  187  may be transmitted upon receipt of one or more services  186 . In another embodiment, one or more actions related to one or more services  186 , e.g., proposing the one or more services to one or more devices, may be carried out prior to transmitting the deobscuring data  187 . In an embodiment, if a particular number of users do not use one or more services  186 , then computing device  130 C may not transfer deobscuring data  187 . 
     Referring now to  FIG. 1F ,  FIG. 1F  shows an embodiment of the invention as shown in exemplary embodiment  100 ″″. For example,  FIG. 1F  shows computing device  130 D interacting with personal device  120 . In an embodiment, computing device  130 D receives device data  188  from personal device  120 . Although  FIG. 1F  shows this transfer as coming directly from personal device  120 , in an embodiment, computing device  130 D may receive device data  188  from any source, including a third device, a communication network, a social networking site, a device manufacturer, and the like. In an embodiment, computing device  130 D monitors one or more personal devices  120  for device data  188 . In an embodiment, computing device  130 D monitors one or more other sources for device data  188  regarding personal devices  120 . 
     In an embodiment, device data  188  may include data that personal device  120  has collected. In an embodiment, the device data  188  may be modified to obscure an identity of the device  120  or a user of the device  120 . In an embodiment, the device data  188  is not obscured. In an embodiment, device data  188  may be about data that is stored on device  120  or otherwise under the control of personal device  120 , rather than being the actual data under the control of personal device  120 . For example, as shown in  FIG. 1F , personal device  120  may include protected data  126 A, which, in an embodiment, may include the last thirty locations visited by personal device  120 . In an embodiment, device data  188  may include the last thirty locations visited by personal device  120 . In another embodiment, device data  188  may include an indication that personal device  120  has thirty device locations stored in its memory. In an embodiment, device data  188  may include an indication that personal device  120  has thirty device locations stored in its memory, and 20 of those locations are locations for which an interest has been expressed by an entity in communication with computing device  130 D. 
     Referring again to  FIG. 1F , in an embodiment, computing device  130 D may include personal device interface module  132 . Personal device interface module  132  may include data value monitoring module  132 A. In an embodiment, data value monitoring module  132 A may receive information regarding which types of data are valuable (e.g., location data, or location data indicating that a device is inside Times Square on New Years&#39; Eve, and the like), and may monitor one or more devices and other locations for one or more indications that a personal device  120  has data estimated to be valuable, and whether that data is protected. In an embodiment, personal device interface module may include device information receiving module  132 B configured to receive device data  188 . Device data  188  may have any number of formats, as described above, and as shown by way of non-limiting example in the examples given further herein. 
     Referring again to  FIG. 1F , in an embodiment, computing device  130 D may include device monitoring module  132 C. In an embodiment, device monitoring module  132 C may monitor one or more personal devices  120  through any monitoring technique. In an embodiment, device monitoring module  132 C may include software, hardware, or firmware associated with personal device  120 , that may be configured to report back to device monitoring module  132 C at particular intervals. In an embodiment, device monitoring module  132 C may monitor personal device  120  through one or more communication networks  140  (not pictured), and may communicate directly with personal device  120 . In an embodiment, device monitoring module  132 C may monitor personal device  120  through indirect means, e.g., through other devices or systems that may be used by personal device  120 . 
     Referring again to  FIG. 1F , in an embodiment, personal device interface module  132  may include service offering module  132 D. For example, as described previously, computing device  130 D may acquire one or more services. These services may be presented to personal device  120 , either for presentation to a user, or for an automated decision regarding whether to accept the services. In an embodiment, the one or more services  188  may require access to protected data, e.g., protected data  126 A of the personal device  120 , or one or more protected components, e.g., protected component  128 A of personal device  120 , or both. In an embodiment, computing device  130 D may facilitate the presentation of the one or more services to a user  105  of the personal device  120 , via the personal device  120 . 
     Referring again to  FIG. 1B ,  FIG. 1B  shows a more detailed description of service provider device  170 . In an embodiment, service provider device  170  may include a processor  110 . Processor  110  may include one or more microprocessors, Central Processing Units (“CPU”), a Graphics Processing Units (“GPU”), Physics Processing Units, Digital Signal Processors, Network Processors, Floating Point Processors, and the like. In some embodiments, processor  110  may be a server. In some embodiments, processor  110  may be a distributed-core processor. Although processor  110  is as a single processor that is part of a single service provider device  170 , processor  110  may be multiple processors distributed over one or many service provider devices  170 , which may or may not be configured to operate together. Processor  110  is illustrated as being configured to execute computer readable instructions in order to execute one or more operations described above, and as illustrated in  FIGS. 5, 6A-6C, 7A-7F, and 8A-8D . In some embodiments, processor  110  is designed to be configured to operate as processing module  150 , which may include one or more obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices acquiring module  152 , one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that avoids particular identification module  154 , and acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  156 . 
     Referring again to  FIG. 1B , in an embodiment, service provider  170  may include a device memory  116 . In some embodiments, memory  116  may comprise of one or more of one or more mass storage devices, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), cache memory such as random access memory (RAM), flash memory, synchronous random access memory (SRAM), dynamic random access memory (DRAM), and/or other types of memory devices. In some embodiments, memory  116  may be located at a single network site. In some embodiments, memory  116  may be located at multiple network sites, including sites that are distant from each other. 
     Referring now to  FIG. 2 ,  FIG. 2  illustrates an exemplary implementation of the obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices acquiring module  152 . As illustrated in  FIG. 2 , the obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices acquiring module may include one or more sub-logic modules in various alternative implementations and embodiments. For example, as shown in  FIG. 2 , e.g.,  FIG. 2A , in some embodiments, module  152  may include one or more of obscured data referencing at least one attribute of more than one devices in a manner that avoids particular identification of individual devices of the more than one devices acquiring module  202  and obscured data referencing a number of devices having at least one attribute at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  204 . In some embodiments, module  204  may include one or more of obscured data referencing a number of devices having at a particular location at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  206 , obscured data referencing a number of devices having an image capturing sensor having a particular resolution at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  208 , and obscured data referencing a number of devices having a particular type of data at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  210 . In some embodiments, module  210  may include obscured data referencing a number of devices having more than twenty-five contacts stored in memory at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  212 . 
     Referring again to  FIG. 2 , e.g.,  FIG. 2B , in some embodiments, module  152  may include one or more of obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices until deobscured acquiring module  214  (e.g., which, in some embodiments, may include obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices until deobscured via data manipulation acquiring module  216 ), obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by obscuring identification data acquiring module  218 , obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by deleting identification data acquiring module  220 , obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by at least partially encrypting identification data acquiring module  222 , obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by applying one or more reversible algorithms to identification data acquiring module  224 , and obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with data retrieved from a static table acquiring module  226 . 
     Referring again to  FIG. 2 , e.g.,  FIG. 2C , as described above, in some embodiments, module  152  may include one or more of obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with randomly generated data acquiring module  228 , obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with non-randomly generated data acquiring module  230 , obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with ordered data configured to appear random acquiring module  232 , and obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by inserting false identification data acquiring module  234 . In some embodiments, module  234  may include one or more of obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by inserting false identification data having a same format as true identification data acquiring module  236  and obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by inserting random data having a similar data structure as true identification data acquiring module  238 . 
     Referring now to  FIG. 3 ,  FIG. 3  illustrates an exemplary implementation of one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that avoids particular identification module  154 . As illustrated in  FIG. 3 , the one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that avoids particular identification module  154  may include one or more sub-logic modules in various alternative implementations and embodiments. For example, as shown in  FIG. 3  (e.g.,  FIG. 3A ), in some embodiments, module  154  may include friend-finding service designed to be at least partly executed using a smartphone acquiring at least partly based on the acquired obscured data that avoids particular identification module  302 . In some embodiments, module  302  may include one or more of friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on the acquired obscured data that avoids particular identification module  304  and friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property that avoids particular identification module  306 . In some embodiments, module  306  may include one or more of friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts module  308  and friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts that meet a particular contact criterion module  310 . In some embodiments, module  310  may include one or more of friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts that are of particular gender module  312  and friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts that are of particular age module  314 . 
     Referring again to  FIG. 3 , e.g.,  FIG. 3B , as described above, in some embodiments, module  154  may include one or more of one or more services designed to be at least partly executed using the one or more devices receiving at least partly based on the acquired obscured data that avoids particular identification module  315 , one or more services designed to be at least partly executed using the one or more devices generating at least partly based on the acquired obscured data that avoids particular identification module  316 , one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data that avoids particular identification transmitting module  318 , and receiving requested one or more services module  320 . In some embodiments, module  318  may include one or more of one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data that avoids particular identification transmitting to one or more service providers module  322  and one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data, that avoids particular identification, transmitting to an open exchange module  324 . In some embodiments, module  324  may include one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data, that avoids particular identification, posting to a social networking site module  326 . 
     Referring again to  FIG. 3 , e.g.,  FIG. 3C , in some embodiments, module  154  may include one or more of one or more services designed to be at least partly executed using the one or more devices description receiving module  328  and one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification module  330 . In some embodiments, module  330  may include one or more of one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based an estimated profitability of the one or more received described services module  332 , one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based an estimated device agreement to install rate of the one or more received described services module  334 , and one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification and at least partly based on a received described service property module  336 . In some embodiments, module  336  may include one or more of one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification and at least partly based on a received described service developer identity module  338  and one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification and at least partly based on a received described service surcharge module  340 . 
     Referring again to  FIG. 3 , e.g.,  FIG. 3D , in some embodiments, module  154  may include one or more of one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on an estimated value of data that identifies the one or more devices given in exchange for providing at least a portion of the one or more services module  342 , one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on an estimated resale of data that identifies the one or more devices given in exchange for providing at least a portion of the one or more services module  344 , one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on an estimated value of using data that identifies the one or more devices given in exchange for providing at least a portion of the one or more services module  346 , one or more services designed to be at least partly executed using the one or more devices developing at least partly based on the acquired obscured data that avoids particular identification module  348 , bicycling traffic service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices that are identified as moving on a bicycle for one hour per day or more and avoids particular identification module  350 , and ice cream shop information service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices that are identified as in proximity to an ice cream shop when an ambient temperature is above a particular threshold and avoids particular identification module  352 . 
     Referring again to  FIG. 3 , e.g.,  FIG. 3E , in some embodiments, module  154  may include one or more of ice cream shop information service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices that are identified as in proximity to an ice cream shop when an ambient temperature is above eighty degrees and avoids particular identification module  354  and digital photo sorting service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices having five hundred or more photographs taken and avoids particular identification module  356 . 
     Referring now to  FIG. 4 ,  FIG. 4  illustrates an exemplary implementation of acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  156 . As illustrated in  FIG. 4 , the acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  156  may include one or more sub-logic modules in various alternative implementations and embodiments. For example, as shown in  FIG. 4 , e.g.,  FIG. 4A , in some embodiments, module  156  may include one or more of acquired one or more services as return for access to particularly identifying data that identifies one or more users of the one or more devices associated with attribute data offering module  402 , acquired one or more services as return for access to unique device identifier data of the one or more devices associated with attribute data offering module  404 , acquired one or more services as return for access to service login credentials used by at least one of the one or more devices associated with attribute data offering module  406 , acquired one or more services as return for access to marketplace login credentials used by at least one of the one or more devices associated with attribute data offering module  408 , and acquired one or more services as return for access to social networking site login credentials used by at least one of the one or more devices associated with attribute data offering module  410 . 
     Referring again to  FIG. 4 , e.g.,  FIG. 4B , in some embodiments, module  156  may include one or more of acquired friend-finding service as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  412 , acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offer for service facilitation presenting module  420 , acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offer for service on at least one of the one or more devices facilitation presenting module  422 , and acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data receiving module  424 . In some embodiments, module  412  may include acquired friend-finding service as return for access to particularly identifying data of the one or more devices having a contact list having greater than a predetermined number of contacts offering module  414 . In some embodiments, module  414  may include acquired friend-finding service as return for access to data to convert acquired obscured data into particularly identifying data of the one or more devices having a contact list having greater than a predetermined number of contacts offering module  416 . In some embodiments, module  416  may include acquired friend-finding service as return for access to data to decrypt acquired obscured data into particularly identifying data of the one or more devices having a contact list having greater than a predetermined number of contacts offering module  418 . 
     Referring again to  FIG. 4 , e.g.,  FIG. 4C , in some embodiments, module  156  may include one or more of acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data receiving for use module  426 , received particularly identifying data utilizing for communication with the particularly identified one or more devices module  428 , and acquired one or more services as return for access to particularly identifying data configured to deobscure the acquired obscured data offering module  430 . In some embodiments, module  430  may include one or more of acquired one or more services as return for access to particularly identifying data configured to decrypt the acquired obscured data offering module  432 , acquired one or more services as return for access data configured to modify the acquired obscured data into particularly identifying data offering module  436 , acquired one or more services as return for access data configured to replace a portion of the acquired obscured data with particularly identifying data offering module  438 , and acquired one or more services as return for access data configured to change an anonymized portion of the acquired obscured data into particularly identifying data offering module  430 . In some embodiments, module  432  may include acquired one or more services as return for access to particularly identifying data configured to decrypt a particular portion of the acquired obscured data offering module  434 . 
     Referring again to  FIG. 4 , e.g.,  FIG. 4D , in some embodiments, module  156  may include module  430 , as previously described. In some embodiments, module  430  may include one or more of acquired one or more services as return for access to data configured to substitute an anonymized portion of the acquired obscured data with particularly identifying data using a lookup table offering module  442 , acquired one or more services as return for access to data filter out a false data portion of the acquired obscured data and leaving particularly identifying data as a remainder offering module  444 , and acquired one or more services as return for access to an algorithm for which application to the acquired obscured data results in particularly identifying data offering module  446 . In some embodiments, module  446  may include one or more of acquired one or more services as return for access to a database of particularly identifying data of the one or more devices associated with attribute data offering module  448 , acquired one or more services as return for restricted access to a database of particularly identifying data of the one or more devices associated with attribute data offering module  450 , direct delivery of one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  452 , and direct delivery to one or more users of the one or more devices, of one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  454 . 
     Following are a series of flowcharts depicting implementations. For ease of understanding, the flowcharts are organized such that the initial flowcharts present implementations via an example implementation and thereafter the following flowcharts present alternate implementations and/or expansions of the initial flowchart(s) as either sub-component operations or additional component operations building on one or more earlier-presented flowcharts. Those having skill in the art will appreciate that the style of presentation utilized herein (e.g., beginning with a presentation of a flowchart(s) presenting an example implementation and thereafter providing additions to and/or further details in subsequent flowcharts) generally allows for a rapid and easy understanding of the various process implementations. In addition, those skilled in the art will further appreciate that the style of presentation used herein also lends itself well to modular and/or object-oriented program design paradigms. 
     Further, in  FIG. 5  and in the figures to follow thereafter, various operations may be depicted in a box-within-a-box manner. Such depictions may indicate that an operation in an internal box may comprise an optional example embodiment of the operational step illustrated in one or more external boxes. However, it should be understood that internal box operations may be viewed as independent operations separate from any associated external boxes and may be performed in any sequence with respect to all other illustrated operations, or may be performed concurrently. Still further, these operations illustrated in  FIG. 5-8  as well as the other operations to be described herein may be performed by at least one of a machine, an article of manufacture, or a composition of matter. 
     The following examples are provided merely as illustrations of how various embodiments may be implemented. None of the following examples are intended to be limiting, and all of the examples listed herein may be combined with portions of other examples listed herein, to the extent such combinations are not logically inconsistent. Because of space limitations, each example is not written out each time it is possible to implement that example. Therefore, unless explicitly otherwise stated, each example should be understood to encompass every other example listed both before and after the instant example. Each example is not intended to be limited to a single claim or set of claims, but is rather exemplary of how one or more embodiments may be carried out. Nothing in the following should be interpreted as limiting any claim or enumerating an exhaustive list of how one or more claimed embodiments can be carried out. 
     Referring now to  FIG. 5 ,  FIG. 5  shows operation  500 , which may include operation  502  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices. For example,  FIG. 1 , e.g.,  FIG. 1B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices acquiring module  152  acquiring (e.g., receiving, retrieving, picking up, creating, generating, intercepting, reading, hearing, detecting, and the like) obscured data (e.g., data that has been modified in any way, including deletion, substitution, change, mutation, variation, diversification, transformation, and the like), said obscured data (e.g., data that has been modified in any way, including deletion, substitution, change, mutation, variation, diversification, transformation, and the like) comprising property data (e.g., data about one or more properties, e.g., whether environment-dependent or environment independent, including, but not limited to, one or more of a status, characteristic, snapshot, feature, index, brand, configuration, attribute, algorithm, format, mode, flag setting, variable, data structure, and the like) regarding at least one property (e.g., any attribute of a device or any of the hardware, software, firmware, and the like, whether static or dynamic, permanent or temporary, whether dependent on a user of the device or not, and in an embodiment, may reflect entirely on the user or one or more actions taken out by the user) of one or more devices (e.g., a cellular phone, smart phone, IP phone, VOIP phone, handset, microphone, camera (e.g., video camera, still camera, digital camera, and the like), headphone, earpiece, screen, monitor, television, game system, receiver (e.g., an audio/visual receiver), media player (e.g., DVD player, Blu-ray player, CD player, MP3 player, cassette tape player), tablet device, netbook computer, notebook computer, router, wireless router, bridge, network equipment, server, desktop computer, personal computer, personal computer component (e.g., RAM, hard drive, video card, and the like), personal navigation system, vehicle navigation system, motor vehicle, motor vehicle stereo, motor vehicle control system, motor vehicle communication system (e.g., OnStar), appliance, security system (e.g., a home security system), electronic safety device (e.g., an electronic safe, a door security system, a door locking system), stereo system, speaker, remote control (e.g., a universal remote control, or a device remote control), radio, two-way radio, walkie-talkie, ham radio, a metal detector, a radar detector, a weather station, a robot (e.g., a Roomba), a vacuum cleaner, and the like), wherein said obscured data (e.g., data that has been modified in any way, including deletion, substitution, change, mutation, variation, diversification, transformation, and the like) has been (e.g., the obscuring has already happened, is in the process of happening, or has been indicated that obscuring will happen in due course (e.g., in an embodiment, data may be indicated, e.g., marked, for obscuring, and the obscuring may not have actually taken place on the data yet, but is still considered to have been obscured, if the data will be obscured in the absence of an intervening action) obscured (e.g., modified in any way, including deletion, substitution, change, mutation, variation, diversification, transformation, and the like) to avoid uniquely identifying (e.g., information that would specifically identify the device, or a user of the device, e.g., a MAC address, an IP address, whether static or dynamic, a server name, login information for one or more web sites, social networking sites, marketplaces, and the like) the one or more devices (e.g., any of the list of devices mentioned previously). 
     Referring again to  FIG. 5 , operation  500  may include operation  504  depicting acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices. For example,  FIG. 1 , e.g.,  FIG. 1B , shows one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that avoids particular identification module  154  acquiring (e.g., receiving, retrieving, picking up, creating, generating, intercepting, reading, hearing, detecting, and the like) one or more services (e.g., any task, or any portion of any task, or any combination of tasks, that can be carried out by a device, or by a device in communication with another device, which may include human interaction, or may not include human interaction, and which may require one or more resources, either locally to the device, or remotely from the device, and which may include one or more of hardware, software, firmware, data stored in or manipulated by any component, module, part, or portion of the device, including, but not limited to, hardware, software, applications, Application Programming Interfaces (“APIs”), one or more virtual machines, one or more Dynamically Loaded Libraries (“DLLs”), one or more relational databases, one or more GUI frameworks, one or more COM structured storages, or any portion of any other device that is under control of a device, e.g., a cloud resource, and the like) configured to be (e.g., the one or more services are designed to be carried out, or designed in a manner that makes the one or more services capable of being carried out) carried out (e.g., executed, performed, take a step or measure toward, schedule the performance of, instruct an entity to perform, and the like, including one or more portions of the service that are smaller than the service itself, including, but not limited to, data transmission and manipulation, and user interface handling, for example) on (e.g., in this context, on means that the device plays some role in facilitating the carrying out of the device, regardless of whether the device actually performs any of the steps of carrying out, or merely supplies one or more resources, data, or instructions that are used to carry out) the one or more devices (e.g., a cellular phone, smart phone, IP phone, VOIP phone, handset, microphone, camera (e.g., video camera, still camera, digital camera, and the like), headphone, earpiece, screen, monitor, television, game system, receiver (e.g., an audio/visual receiver), media player (e.g., DVD player, Blu-ray player, CD player, MP3 player, cassette tape player), tablet device, netbook computer, notebook computer, router, wireless router, bridge, network equipment, server, desktop computer, personal computer, personal computer component (e.g., RAM, hard drive, video card, and the like), personal navigation system, vehicle navigation system, motor vehicle, motor vehicle stereo, motor vehicle control system, motor vehicle communication system (e.g., OnStar), appliance, security system (e.g., a home security system), electronic safety device (e.g., an electronic safe, a door security system, a door locking system), stereo system, speaker, remote control (e.g., a universal remote control, or a device remote control), radio, two-way radio, walkie-talkie, ham radio, a metal detector, a radar detector, a weather station, a robot (e.g., a Roomba), a vacuum cleaner, and the like) said acquiring at least partly based (e.g., plays at least a small factor in, regardless of how much or how little, including, but not limited to, entirely based) on the acquired obscured data (e.g., in an embodiment, obscured data is data that once contained property data, and data that uniquely identifies one or more of the device and the user of the device from which the data originated, but the data has been altered to obscure, or remove entirely, the data that uniquely identifies the one or more of the device and the user of the device from which the data originated) comprising the property data (e.g., data about one or more properties, e.g., whether environment-dependent or environment independent, including, but not limited to, one or more of a status, characteristic, snapshot, feature, index, brand, configuration, attribute, algorithm, format, mode, flag setting, variable, data structure, and the like) regarding at least one property (e.g., any attribute of a device or any of the hardware, software, firmware, and the like, whether static or dynamic, permanent or temporary, whether dependent on a user of the device or not, and in an embodiment, may reflect entirely on the user or one or more actions taken out by the user) of the one or more devices. 
     Referring again to  FIG. 5 , operation  500  may include operation  506  depicting offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. For example.  FIG. 1 , e.g.,  FIG. 1B , shows acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  156  offering (e.g., a presentation to a potential recipient for which the recipient is free to accept or reject, e.g., which may be in the form of, for example “this is a service we are willing to provide, are you interested,” or any variant of that) the one or more services (e.g., any task, or any portion of any task, or any combination of tasks, that can be carried out by a device, or by a device in communication with another device, which may include human interaction, or may not include human interaction, and which may require one or more resources, either locally to the device, or remotely from the device, and which may include one or more of hardware, software, firmware, data stored in or manipulated by any component, module, part, or portion of the device, including, but not limited to, hardware, software, applications, Application Programming Interfaces (“APIs”), one or more virtual machines, one or more Dynamically Loaded Libraries (“DLLs”), one or more relational databases, one or more GUI frameworks, one or more COM structured storages, or any portion of any other device that is under control of a device, e.g., a cloud resource, and the like) in exchange for (e.g., in return for, e.g., as a quid pro quo, e.g., as a bargained-for exchange, e.g., as a colloquial agreement to swap, e.g., covering any agreement to transfer between two or more parties, regardless of formality level) access (e.g., one or more of reading, writing, modifying, altering, deleting, encrypting, transmitting, receiving, or performing any of one or more actions or operations upon) to identifying data (e.g., data that assists in identifying, e.g., describing, e.g., a name, number, description, regardless of particularity, a list of features, a list of properties, whether static or dynamic, and the like) configured to uniquely identify (e.g., identify in such a way as to differentiate between the device and other devices which are not the device) the one or more devices associated (e.g., related to, e.g., in some embodiments, originated, and also including embodiments where the device is the subject of the property data, or had some role in the acquisition, generation, collection, transmission, modification, aggregation, or other manipulation of the property data) with the property data (e.g., data about one or more properties, e.g., whether environment-dependent or environment independent, including, but not limited to, one or more of a status, characteristic, snapshot, feature, index, brand, configuration, attribute, algorithm, format, mode, flag setting, variable, data structure, and the like). 
       FIGS. 6A-6E  depict various implementations of operation  502 , depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices according to embodiments. Referring now to  FIG. 6A , operation  502  may include operation  602  depicting acquiring obscured data, said obscured data including property data regarding at least one property of two or more devices, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2A  shows obscured data referencing at least one attribute of more than one devices in a manner that avoids particular identification of individual devices of the more than one devices acquiring module  202  acquiring obscured data (e.g., data indicating a location of three smartphones, with device identifiers removed) comprising property data (e.g., data revealing a location of the device at a particular time) regarding at least one property (e.g., location of the device at a particular time) of two or more devices (e.g., three smartphones being carried by users and used at Le Chic restaurant), wherein said obscured data has been obscured (e.g., the device identifiers have been removed or modified, in an embodiment, simply deleted from the obscured data) to avoid uniquely identifying the one or more devices. 
     Referring again to  FIG. 6A , operation  502  may include operation  604  depicting acquiring obscured data, said obscured data including property data regarding how many devices of a set of one or more devices have a particular property, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2A , shows obscured data referencing a number of devices having at least one attribute at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  204  acquiring obscured data (e.g., a device identifier in which the characters have been replaced with characters from a lookup table), said obscured data including property data regarding how may devices (e.g., one or more cellular telephones carried by users) of a set of one or more devices have a particular property (e.g., whether the device has a camera over five megapixels), wherein said obscured data has been obscured (e.g., the device identifying information portion of the obscured data was identified and characters were substituted using a lookup table) to avoid uniquely identifying the one or more devices. 
     Referring again to  FIG. 6A , operation  604  may include operation  606  depicting acquiring obscured data, said obscured data including property data regarding how many devices of a set of one or more devices are at a particular location, wherein said obscured data has been obscured to avoid uniquely identifying the device. For example,  FIG. 2 , e.g.,  FIG. 2A , shows obscured data referencing a number of devices having at a particular location at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  206  acquiring obscured data, said obscured data (e.g., data with encrypted user identification of a user of the device) comprising property data regarding how many devices of a set of one or more devices are at a particular location (e.g., in Times Square), wherein said obscured data has been obscured (e.g., encrypted) to avoid uniquely identifying the device. 
     Referring again to  FIG. 6A , operation  604  may include operation  608  depicting acquiring obscured data, said obscured data including property data regarding how many devices of a set of one or more devices have an image capturing sensor having a resolution of five megapixels or greater, wherein said obscured data has been obscured to avoid uniquely identifying the device. For example,  FIG. 2 , e.g.,  FIG. 2A , shows obscured data referencing a number of devices having an image capturing sensor having a particular resolution at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  208  acquiring obscured data, said obscured data (e.g., aggregated data including a number of devices) comprising property data regarding how many devices of a set of one or more devices have an image capturing sensor having a resolution of five megapixels or greater, wherein said obscured data has been obscured (e.g., the data has been aggregated so that no single device has its identifying information) to avoid uniquely identifying the device. 
     Referring again to  FIG. 6A , operation  604  may include operation  610  depicting acquiring obscured data, said obscured data including property data regarding how many devices of a set of one or more devices control data having a particular feature, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2A , shows obscured data referencing a number of devices having a particular type of data at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  210  acquiring obscured data, said obscured data (e.g., data for which specific identifying information is removed, e.g., “Asus A500 tablet #123456” becomes “Asus A500 tablet”) comprising property data regarding how many devices of a set of one or more devices control data (e.g., image data) having a particular feature (e.g., the image data features more than five hundred uncategorized pictures), wherein said obscured data has been obscured (e.g., the most specific reference has been removed, and stored in a separate database) to avoid uniquely identifying the device. 
     Referring again to  FIG. 6A , operation  610  may include operation  612  depicting acquiring obscured data, said obscured data including property data regarding how many devices of a set of one or more devices store a contact list having twenty-five or more contacts, wherein said obscured data has been obscured to avoid uniquely identifying the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2A  shows obscured data referencing a number of devices having more than twenty-five contacts stored in memory at a particular time in a manner that avoids particular identification of the one or more devices acquiring module  212  acquiring obscured data, said obscured data (e.g., data for which device identification data has been replaced with false identification data having exactly the same format (e.g., three letters followed by six numbers) comprising property data regarding how many devices of a set of one or more devices store a contact list having twenty-five or more contacts, wherein said obscured data has been obscured (e.g., a replacement algorithm has been scheduled to be run on the data) to avoid uniquely identifying the one or more devices. 
     Referring now to  FIG. 6B , operation  502  may include operation  614  depicting acquiring obscured data, said obscured data including property data that describes at least one property of one or more devices and obscured identifying data that, when deobscured, uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices until deobscured acquiring module  214  acquiring obscured data, said obscured data (e.g., data for which device identification data, e.g., IP addresses, has been deleted, and a duplicate copy of non-obscured data has been kept at a separate location) comprising property data that describes at least one property (e.g., how many sensors are on the device) of one or more devices (e.g., smartphones), and obscured identifying data (e.g., data for which device identification data has been deleted) that, when deobscured (e.g., device identifying data is restored by any process, including reversal of an algorithm, or in the present example, by using the non-obscured data kept at a separate location to deobscure the data), uniquely identifies (e.g., identifies by a unique identifier character string) the one or more devices. 
     Referring again to  FIG. 6B , operation  614  may include operation  616  depicting acquiring obscured data, said obscured data including property data that describes at least one property of one or more devices and obscured identifying data that, upon application of one or more received transformations, uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices until deobscured via data manipulation acquiring module  216  acquiring obscured data (e.g., obscured identifying data (e.g., identifying data for which a reversible transformation has been applied) and property data, as described herein), said obscured data including property data that describes at least one property (e.g., what is the cellular signal strength at that device&#39;s current location) of one or more devices (e.g., a smartphone) and obscured identifying data (e.g., data for which the portion of the data that identifies the device from which the property data was collected, a reversible transformation algorithm is applied), that, upon application of one or more received transformations (e.g., the reverse of the transformation algorithm is received), uniquely identifies (e.g., via a unique login code used by a user of the device) the one or more devices (e.g., the device is identified as “John Doe, SSN #233-52-2623&#39;s device”). 
     Referring again to  FIG. 6B , operation  502  may include operation  618  depicting acquiring obscured data, said obscured data including property data that describes at least one property of one or more devices and obscured identifying data that was created by obscuring data that uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by obscuring identification data acquiring module  218  acquiring obscured data, said obscured data including property data that describes at least one property of one or more devices and obscured identifying data that was created by obscuring data (e.g., deleting one character from a unique device identification character string) that uniquely identifies the one or more devices. 
     Referring again to  FIG. 6B , operation  502  may include operation  620  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered to remove information that uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by deleting identification data acquiring module  220  acquiring obscured data, said obscured data including property data regarding at least one property (e.g., the device has a velocity meter indicating that the device is traveling more than fifty miles per hour) of one or more devices (e.g., a personal navigation system device), wherein said obscured data has been altered to remove (e.g., to delete) information that uniquely identifies the one or more devices. 
     Referring again to  FIG. 6B , operation  502  may include operation  622  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered to at least partially encrypt one or more portions of the property data that uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by at least partially encrypting identification data acquiring module  222  acquiring obscured data, said obscured data (e.g., data for which a user id for a login to a marketplace, e.g., the Apple App Store, has been encrypted) comprising property data regarding at least one property (e.g., a number of songs by each artist for the one or more devices) of one or more devices (e.g., twenty Apple iPod music players), wherein said obscured data has been altered to at least partially encrypt one or more portions of the property data that uniquely identifies (e.g., the user id for the marketplace) the one or more devices. 
     Referring again to  FIG. 6B , operation  502  may include operation  624  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by applying a reversible data transformation algorithm to one or more portions of the property data that uniquely identify the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by applying one or more reversible algorithms to identification data acquiring module  224  acquiring obscured data, said obscured data (e.g., data which has undergone a transformation to hide a device identifier that is part of the data) comprising property data regarding at least one property (e.g., the resolution of a camera on the device) of one or more devices (e.g., tablet devices), wherein said obscured data has been altered by applying a reversible data transformation algorithm to one or more portions of the property data that uniquely identify (e.g., a MAC address) the one or more devices. 
     Referring again to  FIG. 6B , operation  502  may include operation  626  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identifies the one or more devices with a value stored in a lookup table. For example,  FIG. 2 , e.g.,  FIG. 2B , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with data retrieved from a static table acquiring module  226  acquiring obscured data, said obscured data including property data regarding at least one property (e.g., an amount of available storage space on an inserted SD card) of one or more devices (e.g., a smartphone and a tablet device), wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identify the one or more devices (e.g., a device identification number) with a value stored in a lookup table (e.g., the device identification number is replaced with a different number, and the device identification number is stored in the lookup table with the different number as the lookup number, so that the device identification number may be retrieved from the lookup table using the different number). 
     Referring now to  FIG. 6C , operation  502  may include operation  628  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identify the one or more devices with one or more random values. For example,  FIG. 2 , e.g.,  FIG. 2C , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with randomly generated data acquiring module  228  acquiring obscured data, said obscured data (e.g., data for which the device that generated the property data cannot be accurately ascertained solely using the obscured data) including property data regarding at least one property (e.g., how many users have logged into the device, e.g., a networked computer on an enterprise network) of one or more devices (e.g., networked computers in an office enterprise environment), wherein said obscured data has been altered by replacing one or more portions of the property data (e.g., the computer&#39;s name on the corporate enterprise network) that uniquely identify the one or more devices (e.g., the devices are uniquely identified within that particular domain) with one or more random values (e.g., words from the dictionary, e.g., a computer with the ID “frank01” gets replaced with the word “insignia” randomly selected from the dictionary). 
     Referring again to  FIG. 6C , operation  502  may include operation  630  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identify the one or more devices with nonrandom values. For example,  FIG. 2 , e.g.,  FIG. 2C , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with non-randomly generated data acquiring module  230  acquiring obscured data (e.g., data that hides an identity of a device that processed the data and transmitted it to a location), said obscured data including property data regarding at least one property (e.g., which channels have been watched, and for how long) of one or more devices (e.g., internet-equipped television sets), wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identify (e.g., the television device identification number) the one or more devices with nonrandom values (e.g., the device identification number follows a substitution pattern based on the time, with the key buried in the data, so that the data looks random, but knowing the key and the manner of transformation would allow a person to extract the device identification number from the seemingly-random data, e.g., using a pseudorandom permutation based on an algorithm, e.g., a deterministic algorithm, e.g., a block cipher). 
     Referring again to  FIG. 6C , operation  502  may include operation  632  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identify the one or more devices with false-random values. For example,  FIG. 2 , e.g.,  FIG. 2C , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by replacing identification data with ordered data configured to appear random acquiring module  232  acquiring obscured data (e.g., data that does not indicate the identity of the device that collected the property data), said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by replacing one or more portions of the property data that uniquely identify the one or more devices with false random values (e.g., values that look random, but are not). 
     Referring again to  FIG. 6C , operation  502  may include operation  634  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by inserting camouflaging data into the property data that uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2C , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by inserting false identification data acquiring module  234  acquiring obscured data, said obscured data including property data (e.g., data indicating how many text messages were sent in the last thirty days from the device) regarding at least one property of one or more devices (e.g., smartphones with text messaging capability), wherein said obscured data has been altered by inserting camouflaging data (e.g., data that looks similar to uniquely identifying data, but is not uniquely identifying data) into the property data that uniquely identifies the one or more devices. 
     Referring again to  FIG. 6C , operation  634  may include operation  636  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by inserting data having a similar format as uniquely identifying data that uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2C , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by inserting false identification data having a same format as true identification data acquiring module  236  acquiring obscured data, said obscured data including property data regarding at least one property (e.g., a city location of the device, e.g., “in Seattle” or “in Alexandria, Va.”) of one or more devices (e.g., motor vehicle control systems), wherein said obscured data has been altered by inserting data having a similar format (e.g., a vehicle identification number (“VIN”) format, e.g., the format defined by ISO 3833, e.g., the 17-character identifier) as uniquely identifying data (e.g., the VIN number of the motor vehicle that has the motor vehicle control system) that uniquely identifies the one or more devices (e.g., the motor vehicle control system). 
     Referring again to  FIG. 6C , operation  634  may include operation  638  depicting acquiring obscured data, said obscured data including property data regarding at least one property of one or more devices, wherein said obscured data has been altered by inserting data having random data arranged in a same format as uniquely identifying data that uniquely identifies the one or more devices. For example,  FIG. 2 , e.g.,  FIG. 2C , shows obscured data referencing at least one attribute of one or more devices in a manner that avoids particular identification of the one or more devices by inserting random data having a similar data structure as true identification data acquiring module  238  acquiring obscured data, said obscured data including property data regarding at least one property (e.g., devices moving between five and eight miles per hour in temperatures above eighty degrees) of one or more devices (e.g., exercise monitor devices), wherein said obscured data has been altered by inserting data having random data arranged in a same format (e.g., MAC address formatting) as uniquely identifying data (e.g., a device MAC address) that uniquely identifies the one or more devices. 
       FIGS. 7A-7F  depict various implementations of operation  504 , depicting acquiring one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices, according to embodiments. Referring now to  FIG. 7A , operation  504  may include operation  702  depicting acquiring a friend-finding service configured to be carried out by a smartphone, said acquiring at least partly based on the acquired obscured data including the property data regarding the at least one property of the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3A , shows friend-finding service designed to be at least partly executed using a smartphone acquiring at least partly based on the acquired obscured data that avoids particular identification module  302  acquiring (e.g., receiving) a friend-finding service configured to be carried out by a smartphone, said acquiring at least partly based on the acquired obscured data (e.g., data that does not specifically identify the smartphone) including the property data (e.g., data about the device contact list) regarding the at least one property (e.g., whether the device has a contact list) of the one or more devices (e.g., cellular telephones). 
     Referring again to  FIG. 7A , operation  702  may include operation  704  depicting acquiring a service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are at a particular location, said acquiring at least partly based on the acquired obscured data including the property data regarding the at least one property of the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3A , shows friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on the acquired obscured data that avoids particular identification module  304  acquiring a service configured to locate one or more entities (e.g., people in the device contact list) identified in the smartphone (e.g., listed in the smartphone contact list) and to present a notification (e.g., display the person&#39;s name with a red border around the name) when one or more of the located entities are at a particular location (e.g., at the same location as the device, or at a “watch” location that the user is tracking, e.g., a particular coffee shop), said acquiring at least partly based on the acquired obscured data including the property data regarding the at least one property (e.g., the number of contacts in a user&#39;s contact list stored at a remote location but modifiable by the device) of the one or more devices. 
     Referring again to  FIG. 7A , operation  702  may include operation  706  depicting acquiring a friend-finding service configured to be carried out by a smartphone, said acquiring at least partly based on the acquired obscured data including the property data regarding the at least one property of a contact list stored on the smartphone. For example,  FIG. 3 , e.g.,  FIG. 3A , shows friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property that avoids particular identification module  306  acquiring a friend-finding service (e.g., a service that tells as user where people on the user&#39;s contact list stored on the device are located) configured to be carried out by a smartphone (e.g., a smartphone that has Microsoft Outlook&#39;s contacts feature), said acquiring at least partly based on the acquired obscured data (e.g., the data that reveals how many contacts are in a user&#39;s smartphone, but does not identify the smartphone or the user) including the property data regarding the at least one property of a contact list (e.g., a number of users in the contact list) stored on the smartphone. 
     Referring again to  FIG. 7A . operation  706  may include operation  708  depicting acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts are stored on the contact list of the smartphone. For example,  FIG. 3 , e.g.,  FIG. 3A , shows friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts module  308  acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts are stored on the contact list of the smartphone. 
     Referring again to  FIG. 7A , operation  706  may include operation  710  depicting acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts that meet a particular demographic are stored on the contact list of the smartphone. For example,  FIG. 3 , e.g.,  FIG. 3A , shows friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts that meet a particular contact criterion module  310  acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts that meet a particular demographic (e.g., users of high-end smartphone devices, e.g., the Apple iPhone and the Samsung Galaxy S2) are stored on the contact list of the smartphone. 
     Referring again to  FIG. 7A , operation  710  may include operation  712  depicting acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts that are members of an opposite sex of a user of the smartphone are stored on the contact list of the smartphone. For example,  FIG. 3 , e.g.,  FIG. 3A , shows friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts that are of particular gender module  312  acquiring the friend-finding service (e.g., a “talking to women” service) configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts that are members of an opposite sex (e.g., female, if the user is a male) of a user of the smartphone are stored on the contact list of the smartphone. 
     Referring now to  FIG. 7B . operation  710  may include operation  714  depicting acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts that are between ages eighteen and thirty-five are stored on the contact list of the smartphone. For example,  FIG. 3 , e.g.,  FIG. 3B , shows friend-finding service configured to locate one or more entities identified in the smartphone and to present a notification on the smartphone when one or more of the located entities are detected at a particular location acquiring at least partly based on a smartphone contact list property of having more than twenty five contacts that are of particular age module  314  acquiring the friend-finding service configured to be carried out by the smartphone, said acquiring at least partly based on the acquired obscured data including property data indicating that more than twenty-five contacts that are between the ages of eighteen and thirty-five are stored on the contact list of the smartphone. 
     Referring now to  FIG. 7C , operation  504  may include operation  715  depicting receiving one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data including the property data regarding the at least one property of the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3B , shows one or more services designed to be at least partly executed using the one or more devices receiving at least partly based on the acquired obscured data that avoids particular identification module  315  receiving (e.g., receiving, from a service provider that designs services, e.g., if the service is games, a game company) one or more services (e.g., gaming applications) configured to be carried out on the one or more devices (e.g., video game systems), said acquiring at least partly based on the acquired obscured data including the property data (e.g., data indicating how much time the one or more devices spent playing particular types of games, e.g., first person shooters) regarding the at least one property of the one or more devices. 
     Referring again to  FIG. 7C , operation  504  may include operation  716  depicting generating one or more services configured to be carried out on the one or more devices, said acquiring at least partly based on the acquired obscured data that describes the at least one property of the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3B , shows one or more services designed to be at least partly executed using the one or more devices generating at least partly based on the acquired obscured data that avoids particular identification module  316  generating (e.g., creating, or sourcing one or more developer resources to create) one or more services (e.g., a hiking trail status tracking application that tracks a usability of a particular hiking trail in the current climate conditions) configured to be carried out on the one or more devices (e.g., one or more smartphones), said acquiring at least partly based on the acquired obscured data (e.g., position data that does not identify the device by name, although it may give specific position data that could be used to infer the identity of the device given additional information, but by itself, does not identify the device) that describes the at least one property (location) of the one or more devices. 
     Referring again to  FIG. 7C , operation  504  may include operation  718  depicting transmitting a request for one or more services configured to be carried out on the one or more devices, said request including at least a portion of the acquired obscured data. For example,  FIG. 3 , e.g.,  FIG. 3B , shows one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data that avoids particular identification transmitting module  318  transmitting a request for one or more services (e.g., a service that analyzes a person&#39;s typing style and makes recommendations) configured to be carried out on the one or more devices (e.g., a desktop computer with a natural-style keyboard), said request including at least a portion of the acquired obscured data (e.g., data indicating the number of words typed per hour, and the number of times the backspace and/or delete key is struck, but does not specifically identify the device). 
     Referring again to  FIG. 7C , operation  504  may include operation  720  depicting receiving the one or more services that were created in response to the transmitted request. For example,  FIG. 3 , e.g.,  FIG. 3B , shows receiving requested one or more services module  320  receiving the one or more services (e.g., a service that analyzes a person&#39;s typing style and makes recommendations) that were created in response to the transmitted request (e.g., the request for typing services for a person with the typing style revealed in the obscured data). 
     Referring again to  FIG. 7C , operation  318  may include operation  322  depicting transmitting a request for one or more services configured to be carried out on the one or more devices to one or more service designers, said request including at least a portion of the acquired obscured data. For example,  FIG. 3 , e.g.,  FIG. 3B , shows one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data that avoids particular identification transmitting to one or more service providers module  322  transmitting a request for one or more services (e.g., an application that collects concert information and selects concerts a user of a device might be interested in, based on music listened to by a user of a device, e.g., a media player, or a device that includes a media player) configured to be carried out on the one or more devices (e.g., one or more media player devices, e.g., an Apple iPod, or a home stereo system) to one or more service designers (e.g., developers of services, in this example, perhaps music industry or ticket sales companies are developing applications like this one, e.g., Sony Recording Studios develops such an application, or Ticketmaster), said request including at least a portion of the acquired obscured data (e.g., aggregate statistics regarding the types of music played by the various devices). 
     Referring again to  FIG. 7C , operation  318  may include operation  324  depicting posting a request for the one or more services to a public or semi-public exchange said posted request including at least a portion of the acquired obscured data. For example,  FIG. 3 , e.g.,  FIG. 3B , shows one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data, that avoids particular identification, transmitting to an open exchange module  324  posting (e.g., entering a request at a web portal to be posted to a public or semi-public web site) a request for the one or more services (e.g., a hiking trail status tracking application that tracks a usability of a particular hiking trail in the current climate conditions) to a public or a semi-public exchange (e.g., a developer network website), said posted request including at least a portion of the acquired obscured data (e.g., posting numbers of devices that were on a particular trail in the previous twenty-four hours, without revealing the device identities, or, in an embodiment, any specific information regarding the device). 
     Referring again to  FIG. 7C , operation  724  may include operation  726  depicting posting a request for the one or more services to a social networking website, said posted request including at least a portion of the acquired obscured data. For example,  FIG. 3 , e.g.,  FIG. 3B , shows one or more services designed to be at least partly executed using the one or more devices request at least partly based on the acquired obscured data, that avoids particular identification, posting to a social networking site module  326  posting a request for the one or more services (e.g., a bicycling trail information and status tracking application) to a social networking website (e.g., Facebook, or Twitter), said posted request including at least a portion of the acquired obscured data (e.g., data indicating how many devices have three or more bicycle-related applications downloaded on them, without revealing the specific identity of the devices). 
     Referring now to  FIG. 7D , operation  504  may include operation  728  depicting receiving a description of the one or more services configured to be carried out on the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more services designed to be at least partly executed using the one or more devices description receiving module  328  receiving a description (e.g., a listing, including the name, and an estimated amount of resources used by) of the one or more services (e.g., a picture sorting service and a friend-in-picture counting service) configured to be carried out on the one or more devices (e.g., devices with an image capturing sensor and a memory). 
     Referring again to  FIG. 7D , operation  504  may include operation  730  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on the acquired obscured data that describes the at least one property of the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification module  330  selecting one or more of the received services (e.g. selecting the picture sorting service from the picture sorting service and the friend-in-picture counting service), for presentation to the one or more devices, at least partly based on the acquired obscured data (e.g., data indicating a number of pictures stored on the device) that describes the at least one property (e.g., a number of pictures stored on the device) of the one or more devices (e.g., devices with an image capturing sensor and a memory). 
     Referring again to  FIG. 7D , operation  730  may include operation  732  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on an estimated monetization of providing the one or more services to the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based an estimated profitability of the one or more received described services module  332  selecting one or more of the received services (e.g., selecting a picture location tagging service from a picture sorting service and a friend identification service) for presentation to the one or more devices, at least partly based on an estimated monetization (e.g., the picture location tagging service is estimated to generate more revenue) of providing the one or more services to the one or more devices. 
     Referring again to  FIG. 7D . operation  730  may include operation  734  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on an estimation of an acceptance rate of offering the one or more received services to the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based an estimated device agreement to install rate of the one or more received described services module  334  selecting one or more of the received services (e.g., selecting a rest stop finding service from a number of travel services) at least partly based on an estimation (e.g., in an embodiment, the estimation is a computer algorithm based on previous sales, whether using targeted information or general information, and in another embodiment, a human user creates the estimate, and in another embodiment, may be based on other factors, such as a number of miles traveled by the device without detecting a stop, or the average speed of the device, or a character profile of the device that is cross-checked against medical records to determine if a user of the device has prior prostate or kidney problems that require more frequent urination) of an acceptance rate (e.g., a rate at which the user of the device accepts the selected one or more services) of offering the one or more received services (e.g., the rest stop finding service) to the one or more devices (e.g., portable navigation systems). 
     Referring again to  FIG. 7D , operation  730  may include operation  736  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on the acquired obscured data that describes the at least one property of the one or more devices and at least partly based on a property of the one or more services. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification and at least partly based on a received described service property module  336  selecting one or more of the received services (e.g., a soda pop vending machine locating service) for presentation to the one or more devices (e.g., one or more smartphones), at least partly based on the acquired obscured data (e.g., temperature data collected by the smartphones that does not uniquely identify the smartphones) that describes the at least one property of the one or more devices (e.g., the devices are located at a position where the ambient temperature is greater than eighty degrees) and at least partly based on a property of the one or more services (e.g., the service is provided by a company, e.g., Coca-Cola, with which a preexisting relationship exists). 
     Referring again to  FIG. 7D , operation  736  may include operation  738  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on the acquired obscured data that describes the at least one property of the one or more devices and at least partly based on an identity of a developer of the one or more services. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification and at least partly based on a received described service developer identity module  338  selecting one or more of the received services (e.g., a pickup football game scheduler that compares friends&#39; locations and schedules) for presentation to the one or more devices (e.g., various notebook computers, desktop computers, tablet devices, and smartphones that run a calendaring program authored by an operating system designer, e.g., Microsoft), at least partly based on the acquired obscured data (e.g., data indicating how many devices have the calendaring program installed) that describes the at least one property of the one or more devices (e.g., whether the calendaring program is installed, and in an embodiment, how much time is spent using the program, or how many calendar entries have been entered on the device), and at least partly based on an identity of a developer (e.g., a person or company that designed the pickup football game scheduler) of the one or more services (e.g., the company that owns the calendaring program may select based on a reputation of the developer, or that the developer used to work for the company, or that the developer has a revenue-sharing deal with the company, or a cross-promotional deal for the calendaring program). 
     Referring again to  FIG. 7D , operation  736  may include operation  740  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on the acquired obscured data that describes the at least one property of the one or more devices and at least partly based on a surcharge for use of the one or more services. For example,  FIG. 3 , e.g.,  FIG. 3C , shows one or more received described services designed to be at least partly executed using the one or more devices selecting at least partly based on the acquired obscured data that avoids particular identification and at least partly based on a received described service surcharge module  340  selecting one or more of the received services (e.g., a bicycle-riding mapping application) for presentation to the one or more devices (e.g., bicycle-mounted navigation systems), at least partly based on the acquired obscured data (e.g., data indicating how many miles per day the device travels on a bicycle, but that does not identify a serial number of the device or of the bicycle) that describes the at least one property (e.g., distance traveled over a particular time period) of the one or more devices (e.g., the bicycle-mounted navigation systems) and at least partly based on a surcharge for use of the one or more services (e.g., the bicycle-riding mapping application may be selected because it is free, or because it is the most expensive, depending on the embodiment and on the motivations of the various parties, e.g., a motivation to have the application installed on as many devices as possible). 
     Referring now to  FIG. 7E , operation  504  may include operation  742  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on an estimated value of the identifying data obtained in exchange for providing the one or more services to the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3D , shows one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on an estimated value of data that identifies the one or more devices given in exchange for providing at least a portion of the one or more services module  342  selecting one or more of the received services (e.g., a service that tracks an employee&#39;s use of their time in order to boost their efficiency) for presentation to the one or more devices (e.g., employee&#39;s laptops issued by a company that the employee is allowed to take home), at least partly based on an estimated (e.g., estimated by a device running an algorithm, or by a human given various data inputs) value of the identifying data (e.g., identifying one or more specific devices and their usage patterns) obtained in exchange for providing the one or more services (e.g., the time usage tracker) to the one or more devices (e.g., the company-issued laptops). 
     Referring again to  FIG. 7E , operation  504  may include operation  744  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on an estimated value of selling the identifying data obtained in exchange for providing the one or more services to the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3D , shows one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on an estimated resale of data that identifies the one or more devices given in exchange for providing at least a portion of the one or more services module  344  selecting one or more of the received services (e.g., a music playlist creating service) for presentation to the one or more devices (e.g., portable media players, e.g., an Apple iPod), at least partly based on an estimated (e.g., estimated by a device running an algorithm, or by a human given various data inputs, or estimated quotes provided by one or more entities that may be interested in purchasing the data) value of selling (e.g., providing to a third party for a fee) the identifying data (e.g., a list of the music that a particular device likes to play) obtained in exchange for providing the one or more services (e.g., a music playlist creating service) to the one or more devices (e.g., the portable media players). 
     Referring again to  FIG. 7E , operation  504  may include operation  746  depicting selecting one or more of the received services for presentation to the one or more devices, at least partly based on an estimated value of utilizing the identifying data obtained in exchange for providing the one or more services to the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3D , shows one or more services designed to be at least partly executed using the one or more devices acquiring at least partly based on an estimated value of using data that identifies the one or more devices given in exchange for providing at least a portion of the one or more services module  346  selecting one or more of the received services (e.g., a “find new fun places” service based on a device&#39;s location and/or other factors about the user) for presentation to the one or more devices (e.g., one or more tablet devices and/or smartphones being carried by users on vacations), at least partly based on an estimated value of utilizing the identifying data (e.g., using the identifying data that specifically identifies the devices that commonly go to exotic burger shops, so that more applications that cost money may be delivered to the device that cater to burger lovers) obtained in exchange for providing the one or more services e.g., the “find new fun places” service based on a device&#39;s location and/or other factors about the user) to the one or more devices (e.g., the one or more tablet devices and/or smartphones being carried by users on vacations). 
     Referring again to  FIG. 7E , operation  504  may include operation  748  depicting designing one or more services configured to be carried out on the one or more devices, said designing at least partly based on the acquired obscured data including the property data regarding at least one property of the one or more devices. For example,  FIG. 3 , e.g.,  FIG. 3D , shows one or more services designed to be at least partly executed using the one or more devices developing at least partly based on the acquired obscured data that avoids particular identification module  348  designing one or more services (e.g., designing (e.g., contracting to a device that puts together services, or to a human developer) one or more services configured to be carried out on the one or more devices, said designing at least partly based on the acquired obscured data including the property data regarding at least one property (e.g., a location) of the one or more devices. 
     Referring again to  FIG. 7E , operation  504  may include operation  750  depicting acquiring a bicycling tracking service configured to be carried out on the one or more devices, said acquiring at least partly based on the property data indicating that the one or more devices spend one hour or greater each day on a bicycle. For example,  FIG. 3 , e.g.,  FIG. 3D , shows bicycling traffic service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices that are identified as moving on a bicycle for one hour per day or more and avoids particular identification module  350  acquiring a bicycling tracking service configured to be carried out on the one or more devices (e.g., portable navigation devices that can be carried in a pocket or mounted to the handlebars of a bicycle), said acquiring at least partly based on the property data indicating that the one or more devices spend one hour or greater each day on a bicycle 
     Referring again to  FIG. 7E , operation  504  may include operation  752  depicting acquiring an ice cream shop information service configured to be carried out on the one or more devices, said acquiring at least partly based on the property data indicating that the one or more devices are in a proximity of an ice cream shop. For example,  FIG. 3 , e.g.,  FIG. 3D , shows ice cream shop information service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices that are identified as in proximity to an ice cream shop when an ambient temperature is above a particular threshold and avoids particular identification module  352  acquiring an ice cream shop information service configured to be carried out on the one or more devices (e.g., a user&#39;s smartphone), said acquiring at least partly based on the property data (e.g., location data of the device) indicating that the one or more devices are in a proximity of an ice cream shop. 
     Referring now to  FIG. 7F , operation  504  may include operation  754  depicting acquiring an ice cream shop information service configured to be carried out on the one or more devices, said acquiring at least partly based on the property data indicating that the one or more devices are in a proximity of an ice cream shop when the temperature is above eighty degrees Fahrenheit. For example,  FIG. 3 , e.g.,  FIG. 3E , shows ice cream shop information service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices that are identified as in proximity to an ice cream shop when an ambient temperature is above eighty degrees and avoids particular identification module  354  acquiring an ice cream shop information service configured to be carried out on the one or more devices (e.g., personal devices carried by or worn on (e.g., such as augmented reality goggles), said acquiring at least partly based on the property data indicating that the one or more devices are in a proximity of an ice cream shop when the temperature is above eighty degrees Fahrenheit. 
     Referring again to  FIG. 7F , operation  504  may include operation  756  depicting acquiring a picture sorting service configured to be carried out on the one or more devices, said acquiring at least partly based on the property data indicating that the one or more devices have more than five hundred pictures stored in memory. For example,  FIG. 3 , e.g.,  FIG. 3E , shows digital photo sorting service designed to be at least partly executed using the one or more devices acquiring at least partly based on the acquired obscured data that indicates one or more devices having five hundred or more photographs taken and avoids particular identification module  356  acquiring a picture sorting service configured to be carried out on the one or more devices (e.g., digital cameras with internet connections, tablet devices with cameras built in, and laptop computers that store pictures downloaded from a camera), said acquiring at least partly based on the property data indicating that the one or more devices have more than five hundred pictures stored in memory. 
       FIGS. 8A-8C  depict various implementations of operation  506  depicting offering the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data, according to embodiments. Referring now to  FIG. 8A , operation  506  may include operation  802  depicting offering the one or more services in exchange for access to identifying data that uniquely identifies one or more users of the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4A , shows acquired one or more services as return for access to particularly identifying data that identifies one or more users of the one or more devices associated with attribute data offering module  402  offering the one or more services (e.g., a common web page caching and updating service for offline and/or faster reading) in exchange for access to identifying data (e.g., a login to an email service) that uniquely identifies one or more users of the one or more devices (e.g., an internet-enabled device) associated with the property data (e.g., a web browsing history of a device). 
     Referring again to  FIG. 8A , operation  506  may include operation  804  depicting offering the one or more services in exchange for receiving one or more device identifiers of the one or more devices that uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4A , shows acquired one or more services as return for access to unique device identifier data of the one or more devices associated with attribute data offering module  404  offering the one or more services in exchange for receiving one or more device identifiers (e.g., MAC addresses) of the one or more devices that uniquely identify the one or more devices (e.g., any device on a network) associated with the property data (e.g., ambient temperature data surrounding the device). 
     Referring again to  FIG. 8A , operation  506  may include operation  806  depicting offering the one or more services in exchange for receiving one or more service login credentials of the one or more devices that are uniquely associated with the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4A , shows acquired one or more services as return for access to service login credentials used by at least one of the one or more devices associated with attribute data offering module  406  offering the one or more services (e.g., a music playlist creating service) in exchange for receiving one or more service login credentials (e.g., credentials for a user&#39;s login to a music sharing, purchasing, and managing network, e.g., Microsoft&#39;s Zune network) of the one or more devices (e.g., a Microsoft Zune) that are uniquely associated with the one or more devices (e.g., each device may have one login) associated with the property data (e.g., a list of artists whose music is stored on the device, and, in an embodiment, how many songs by each artist that are stored on the device). 
     Referring again to  FIG. 8A , operation  506  may include operation  808  depicting offering the one or more services in exchange for receiving one or more marketplace login credentials of the one or more devices that are uniquely associated with one or more users of the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4A , shows acquired one or more services as return for access to marketplace login credentials used by at least one of the one or more devices associated with attribute data offering module  408  offering the one or more services (e.g., a weather forecasting service) in exchange for receiving one or more marketplace login credentials (e.g., credentials to a store where a user can purchase media for a phone device online, e.g., the Apple App Store) of the one or more devices (e.g., an Apple iMac and an Apple iPhone) that are uniquely associated with one or more users of the one or more devices associated with the property data (e.g., data regarding the surroundings of the Apple device). 
     Referring again to  FIG. 8A , operation  506  may include operation  810  depicting offering the one or more services in exchange for receiving one or more social networking site login credentials of the one or more devices that are uniquely associated with the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4A , shows acquired one or more services as return for access to social networking site login credentials used by at least one of the one or more devices associated with attribute data offering module  410  offering the one or more services (e.g., a “how green are you” service that tracks the user&#39;s habits to determine their environmental impact, and then posts that to the user&#39;s social networking site of their choice) in exchange for receiving one or more social networking site (e.g., Facebook) login credentials (e.g., in an embodiment, that may include a login and a password) of the one or more devices (e.g., a smartphone) that are uniquely associated with the one or more devices associated with the property data. 
     Referring now to  FIG. 8B , operation  506  may include operation  812  depicting offering a friend-finding service in exchange for access to identifying data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4B , shows acquired friend-finding service as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  412  offering a friend-finding service in exchange for access to identifying data (e.g., an account number associated with a user that is herself associated with a device, e.g., her smartphone) that uniquely identifies the one or more devices (e.g., identifies the device as a specific known user&#39;s device) associated with the property data (e.g., contact list data). 
     Referring again to  FIG. 8B , operation  412  may include operation  814  depicting offering a friend-finding service in exchange for access to identifying data that uniquely identifies the one or more devices having more than twenty-five contacts in their contact list. For example,  FIG. 4 , e.g.,  FIG. 4B  shows acquired friend-finding service as return for access to particularly identifying data of the one or more devices having a contact list having greater than a predetermined number of contacts offering module  414  offering a friend-finding service in exchange for access to identifying data (e.g., an identification number assigned by the communication network that handles the transmission of data to and from the device, e.g., a Verizon 4G LTE network) that uniquely identifies the one or more devices having more than twenty-five contacts in their contact list. 
     Referring again to  FIG. 8B , operation  414  may include operation  816  depicting offering a friend-finding service in exchange for access to identifying data configured to convert the obscured data into data that uniquely identifies the one or more devices having more than twenty-five contacts in their contact list. For example,  FIG. 4 , e.g.,  FIG. 4B , shows acquired friend-finding service as return for access to data to convert acquired obscured data into particularly identifying data of the one or more devices having a contact list having greater than a predetermined number of contacts offering module  416  offering a friend-finding service in exchange for access to identifying data configured to convert the obscured data into data that uniquely identifies the one or more devices having more than twenty-five contacts in their contact list. 
     Referring again to  FIG. 8B , operation  816  may include operation  818  depicting offering a friend-finding service in exchange for access to identifying data configured to decrypt a portion of the obscured data that uniquely identifies the one or more devices having more than twenty-five contacts in their contact list. For example,  FIG. 4 , e.g.,  FIG. 4B , shows acquired friend-finding service as return for access to data to decrypt acquired obscured data into particularly identifying data of the one or more devices having a contact list having greater than a predetermined number of contacts offering module  418  offering a friend-finding service in exchange for access to identifying data (e.g., the social security number of a user that is associated with the device) configured to decrypt a portion of the obscured data that uniquely identifies the one or more devices having more than twenty-five contacts in their contact list. 
     Referring again to  FIG. 8B , operation  506  may include operation  820  depicting presenting an offer to facilitate the carrying out of one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4B , shows acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offer for service facilitation presenting module  420  presenting an offer to facilitate the carrying out of one or more services (e.g., an in-game item recommending service that observes a user playing a game that supports in-game purchases, and recommends items for that user to purchase in-game) in exchange for access to identifying data (e.g., an device identification number associated with a particular game machine) configured to uniquely identify the one or more devices (e.g., a game system, e.g., a PlayStation) associated with the property data (e.g., data indicating how long a user has been playing one or more particular games). 
     Referring again to  FIG. 8B , operation  506  may include operation  822  depicting facilitating presentation, on at least one of the one or more devices, an offer to provide the one or more services in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4B , shows acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offer for service on at least one of the one or more devices facilitation presenting module  422  facilitating presentation (e.g., taking one or more steps to assist in displaying on a display of at least one of the one or more devices), an offer to provide the one or more services (e.g., an in-game item recommending service that observes a user playing a game that supports in-game purchases, and recommends items for that user to purchase in-game) in exchange for access to identifying data (e.g., a configuration of a saved game stored in memory that is unique to a particular device) configured to uniquely identify the one or more devices associated with the property data. 
     Referring again to  FIG. 8B , operation  506  may include operation  824  depicting offering the one or more services in exchange for receiving identifying data configured to uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4B , shows acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  424  offering the one or more services (e.g., a steak dinner finding service) in exchange for receiving identifying data configured to uniquely identify the one or more devices (e.g., one or more user smartphones) associated with the property data. 
     Referring now to  FIG. 8C , operation  506  may include operation  826  depicting offering the one or more services in exchange for receiving identifying data configured to uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data receiving for use module  426  offering the one or more services (e.g., the ideal garden planting time calculating service), in exchange for receiving identifying data (e.g., an address of the home in which the garden planning device is installed) configured to uniquely identify the one or more devices (e.g., one or more home gardening assistance devices that are mounted to a piece of real property) associated with the property data (e.g., weather conditions). 
     Referring again to  FIG. 8C , operation  506  may include operation  828  depicting using the received identifying data to communicate with the identified one or more devices. For example,  FIG. 4 , e.g.,  FIG. 4C , shows received particularly identifying data utilizing for communication with the particularly identified one or more devices module  428  using the received identifying data (e.g., the address) to communicate (e.g., either electronically communicate with the device, or to mail the address associated with the device a sales flyer for extra trowels) with the identified one or more devices (e.g., the one or more home gardening assistance devices that are mounted to a piece of real property). 
     Referring again to  FIG. 8C , operation  506  may include operation  830  depicting offering the one or more services in exchange for access to identifying data configured to deobscure the obscured data into data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access to particularly identifying data configured to deobscure the acquired obscured data offering module  430  offering the one or more services (e.g., displaying a rule book for a sport or game being played in the proximity of the device) in exchange for access to identifying data (e.g., a deobscuring lookup table that can look up a user&#39;s real name from the obscured data, using the obscured data as a key to the lookup table) configured to deobscure (e.g., convert the obscured data into data that uniquely identifies the one or more devices and/or a user of the one or more devices) the obscured data (e.g., data including property data and user names that were altered from their true value using a lookup table) into data that uniquely identifies the one or more devices (e.g., a name of the owner of the device stored when the device was first configured by the user) associated with the property data (e.g., location data). 
     Referring again to  FIG. 8C , operation  830  may include operation  832  depicting offering the one or more services in exchange for access to identifying data configured to decrypt the obscured data into data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access to particularly identifying data configured to decrypt the acquired obscured data offering module  432  offering the one or more services (e.g., a service for managing data transfer over a tablet that has wireless and cellular connections) in exchange for access to identifying data configured to decrypt the obscured data into data that uniquely identifies the one or more devices associated with the property data. 
     Referring again to  FIG. 8C , operation  832  may include operation  834  depicting offering the one or more services in exchange for access to identifying data configured to decrypt at least a portion of the obscured data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access to particularly identifying data configured to decrypt a particular portion of the acquired obscured data offering module  434  offering the one or more services (e.g., an alternative health-food finding service) in exchange for access to identifying data (e.g., a decryption algorithm) at least a portion (e.g., in an embodiment, just the identifying data is encrypted) of the obscured data that uniquely identifies (e.g., a device serial number) the one or more devices device (e.g., an updating inventory of what is in the refrigerator that is stored and maintained on the device, e.g., a smart appliance, e.g., a smart refrigerator in a user&#39;s house) associated with the property data (e.g., an updating inventory of the food in the refrigerator stored in memory). 
     Referring again to  FIG. 8C , operation  830  may include operation  836  depicting offering the one or more services in exchange for receiving identifying data configured to modify the obscured data into data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access data configured to modify the acquired obscured data into particularly identifying data offering module  436  offering the one or more services (e.g., a service identifying which grocery store has the freshest inventory of blackberries) in exchange for receiving identifying data configured to modify (e.g., fix one or more characters of a character string identifying the device that were modified to obscure the device identifier character string) the obscured data into data that uniquely identifies the one or more devices associated with the property data. 
     Referring again to  FIG. 8C , operation  830  may include operation  838  depicting offering the one or more services in exchange for receiving identifying data configured to replace random data in the obscured data with data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access data configured to replace a portion of the acquired obscured data with particularly identifying data offering module  438  offering the one or more services (e.g., a service designed to teach the user of a device used to access one or more banking web sites to conserve money and save wisely) in exchange for receiving identifying data configured to replace random data in the obscured data with data that uniquely identifies (e.g., bank account numbers) the one or more devices (e.g., the bank account number that is inputted by the device may uniquely identify the device) associated with the property data. 
     Referring again to  FIG. 8C , operation  830  may include operation  840  depicting offering the one or more services in exchange for access to identifying data configured to replace anonymous data in the obscured data with data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4C , shows acquired one or more services as return for access data configured to change an anonymized portion of the acquired obscured data into particularly identifying data offering module  440  offering the one or more services (e.g., an application that downloads user fan art for media stored in a user&#39;s cloud storage) in exchange for access to identifying data (e.g., a social networking service, e.g., Facebook username of a user that owns the device) configured to replace anonymous data in the obscured data with data that uniquely identifies the one or more devices associated with the property data. 
     Referring now to  FIG. 8D , operation  830  may include operation  842  depicting offering the one or more services in exchange for access to identifying data comprising a lookup table that allows anonymous data in the obscured data to be replaced with data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows acquired one or more services as return for access data configured to substitute an anonymized portion of the acquired obscured data with particularly identifying data using a lookup table offering module  442  offering the one or more services (e.g., a story building application that builds a narrative story out of a user&#39;s twitter feed and a user&#39;s friends&#39; microblogging service feed, e.g., Twitter feed) in exchange for access to identifying data comprising a lookup table that allows anonymous data in the obscured data to be replaced with data that uniquely identifies the one or more devices associated with the property data (e.g., the anonymous data is used as an index of the lookup table, which reveals the uniquely identifying data). 
     Referring again to  FIG. 8D , operation  830  may include operation  844  depicting offering the one or more services in exchange for access to identifying data comprising a list of false data used in the obscured data, such that the false data in the obscuring data is configured to be filtered out, leaving data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows acquired one or more services as return for access to data filter out a false data portion of the acquired obscured data and leaving particularly identifying data as a remainder offering module  444  offering the one or more services in exchange for access to identifying data comprising a list of false data (e.g., data that may appear similar to identifying data but that is used to prevent detection of the actual identifying data, e.g., a list of aliases appearing along with a list of real names) used in the obscured data (e.g., data including a list of users of the one or more devices, to which a number of false names, e.g., aliases, have been added), such that the false data in the obscuring data is configured to be filtered out (e.g., the aliases can be removed), leaving data that uniquely identifies the one or more devices associated with the property data. 
     Referring again to  FIG. 8D , operation  830  may include operation  846  depicting offering the one or more services in exchange for receiving identifying data comprising an algorithm that, when applied to the obscured data, results in data that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows acquired one or more services as return for access to an algorithm for which application to the acquired obscured data results in particularly identifying data offering module  446  offering the one or more services (e.g., a personal money and savings management service) in exchange for receiving identifying data comprising an algorithm (e.g., a reversal algorithm that reverses previously encrypted data), that when applied to the obscured data (e.g., data for which the portion that uniquely identifies a device has been obscured via the use of a reversible algorithm), results in data that uniquely identifies (e.g., IP addresses) the one or more devices associated with the property data. 
     Referring again to  FIG. 8D , operation  506  may include operation  848  depicting offering the one or more services in exchange for access to a database that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows acquired one or more services as return for access to a database of particularly identifying data of the one or more devices associated with attribute data offering module  448  offering the one or more services in exchange for access to a database (e.g., a database kept by a cable television service provider, e.g., Comcast) that uniquely identifies the one or more devices (e.g., internet-enabled television sets) associated with the property data (e.g., property data indicating televisions that are turned on for more than five hours per day). 
     Referring again to  FIG. 8D , operation  506  may include operation  850  depicting offering the one or more services in exchange for limited access to a database that uniquely identifies the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows acquired one or more services as return for restricted access to a database of particularly identifying data of the one or more devices associated with attribute data offering module  450  offering the one or more services in exchange for limited access (e.g., the entire database cannot be copied, but portions may be viewed and/or stored) to a database that uniquely identifies the one or more devices (e.g., a database kept by a device provider, e.g., Apple or Samsung) associated with the property data (e.g., location data). 
     Referring again to  FIG. 8D , operation  506  may include operation  852  depicting offering to provide the one or more services directly to the one or more devices in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows direct delivery of one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  452  offering to provide the one or more services (e.g., an athletic training assistance body monitoring service) directly to the one or more devices (e.g., a heart-rate and other factors monitoring watch) in exchange for access to identifying data (e.g., data that uniquely identifies a user of the monitoring watch, via the user&#39;s unique login name) configured to uniquely identify the one or more devices (e.g., a unique user login is sufficient to uniquely identify the monitoring watch as “Todd&#39;s watch,” because Todd does not have any other devices that are exactly like Todd&#39;s watch) associated with the property data. 
     Referring again to  FIG. 8D , operation  506  may include operation  856  depicting offering one or more services configured to be presented to one or more users of the one or more devices, in exchange for access to identifying data configured to uniquely identify the one or more devices associated with the property data. For example,  FIG. 4 , e.g.,  FIG. 4D , shows direct delivery to one or more users of the one or more devices, of one or more services as return for access to particularly identifying data of the one or more devices associated with attribute data offering module  454  offering one or more services (e.g., a common web page caching and updating service for offline and/or faster reading) configured to be presented to one or more users of the one or more devices (e.g., any device with a web browser, including smartphones, tablets, desktop computers, laptop computers, internet-enabled kitchen devices, and the like), in exchange for access to identifying data (e.g., data that specifically identifies the device, or the user using the device, e.g., an IP address) configured to uniquely identify the one or more devices associated with the property data (e.g., data regarding what web pages are browsed and how frequently the web pages are browsed). 
     All of the above U.S. patents, U.S. patent application publications, U.S. patent applications, foreign patents, foreign patent applications and non-patent publications referred to in this specification and/or listed in any Application Data Sheet, are incorporated herein by reference, to the extent not inconsistent herewith. 
     While particular aspects of the present subject matter described herein have been shown and described, it will be apparent to those skilled in the art that, based upon the teachings herein, changes and modifications may be made without departing from the subject matter described herein and its broader aspects and, therefore, the appended claims are to encompass within their scope all such changes and modifications as are within the true spirit and scope of the subject matter described herein. It will be understood by those within the art that, in general, terms used herein, and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” etc.). 
     It will be further understood by those within the art that if a specific number of an introduced claim recitation is intended, such an intent will be explicitly recited in the claim, and in the absence of such recitation no such intent is present. For example, as an aid to understanding, the following appended claims may contain usage of the introductory phrases “at least one” and “one or more” to introduce claim recitations. However, the use of such phrases should not be construed to imply that the introduction of a claim recitation by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim recitation to claims containing only one such recitation, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an” (e.g., “a” and/or “an” should typically be interpreted to mean “at least one” or “one or more”); the same holds true for the use of definite articles used to introduce claim recitations. In addition, even if a specific number of an introduced claim recitation is explicitly recited, those skilled in the art will recognize that such recitation should typically be interpreted to mean at least the recited number (e.g., the bare recitation of “two recitations,” without other modifiers, typically means at least two recitations, or two or more recitations). 
     Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). In those instances where a convention analogous to “at least one of A, B, or C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). It will be further understood by those within the art that typically a disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms unless context dictates otherwise. For example, the phrase “A or B” will be typically understood to include the possibilities of “A” or “B” or “A and B.” 
     With respect to the appended claims, those skilled in the art will appreciate that recited operations therein may generally be performed in any order. Also, although various operational flows are presented in a sequence(s), it should be understood that the various operations may be performed in other orders than those which are illustrated, or may be performed concurrently. Examples of such alternate orderings may include overlapping, interleaved, interrupted, reordered, incremental, preparatory, supplemental, simultaneous, reverse, or other variant orderings, unless context dictates otherwise. Furthermore, terms like “responsive to,” “related to,” or other past-tense adjectives are generally not intended to exclude such variants, unless context dictates otherwise. 
     This application may make reference to one or more trademarks, e.g., a word, letter, symbol, or device adopted by one manufacturer or merchant and used to identify and/or distinguish his or her product from those of others. Trademark names used herein are set forth in such language that makes clear their identity, that distinguishes them from common descriptive nouns, that have fixed and definite meanings, or, in many if not all cases, are accompanied by other specific identification using terms not covered by trademark. In addition, trademark names used herein have meanings that are well-known and defined in the literature, or do not refer to products or compounds for which knowledge of one or more trade secrets is required in order to divine their meaning. All trademarks referenced in this application are the property of their respective owners, and the appearance of one or more trademarks in this application does not diminish or otherwise adversely affect the validity of the one or more trademarks. All trademarks, registered or unregistered, that appear in this application are assumed to include a proper trademark symbol, e.g., the circle R or bracketed capitalization (e.g., [trademark name]), even when such trademark symbol does not explicitly appear next to the trademark. To the extent a trademark is used in a descriptive manner to refer to a product or process, that trademark should be interpreted to represent the corresponding product or process as of the date of the filing of this patent application. 
     Throughout this application, the terms “in an embodiment,” ‘in one embodiment,” “in some embodiments,” “in several embodiments,” “in at least one embodiment,” “in various embodiments,” and the like, may be used. Each of these terms, and all such similar terms should be construed as “in at least one embodiment, and possibly but not necessarily all embodiments,” unless explicitly stated otherwise. Specifically, unless explicitly stated otherwise, the intent of phrases like these is to provide non-exclusive and non-limiting examples of implementations of the invention. The mere statement that one, some, or may embodiments include one or more things or have one or more features, does not imply that all embodiments include one or more things or have one or more features, but also does not imply that such embodiments must exist. It is a mere indicator of an example and should not be interpreted otherwise, unless explicitly stated as such. 
     Those skilled in the art will appreciate that the foregoing specific exemplary processes and/or devices and/or technologies are representative of more general processes and/or devices and/or technologies taught elsewhere herein, such as in the claims filed herewith and/or elsewhere in the present application.