Patent Document

BACKGROUND OF THE INVENTION 
       [0001]    Globalization and innovations in communication systems have changed the manner in which society lives, does work, etc. Information technological revolutions, such as the Internet, have created a virtual world without boundaries; such exemplars include virtual offices, virtual businesses, virtual hospitals, and online trading. Moreover, modern information technology (IT) operations and IT enabled services can become virtual in terms of off shoring and near shoring. Data management and protection play a key role in advancing these services. It is recognized that while in transit from one physical location to another, personal, business, or governmental sensitive data need to be protected. 
         [0002]    In fact, data protection is necessary to ensure compliance with various privacy laws mandated by numerous countries. For example, in many jurisdictions, sensitive data is not permitted to enter foreign land. Consequently, data that crosses a foreign boundary needs to be de-personalized or sanitized. De-personalization, if performed effectively, can stimulate more offshore work. 
         [0003]    Conventionally, cryptography has been utilized to ensure data protection. Even though classical cryptographic techniques address the concerns of privacy when data is in transit, such techniques do not effectively resolve the handling of data after its decryption. In addition, it is difficult to implement total communication security; such approach is not only costly, but key management is tedious. Further, because data can be accessed through any application (which protects user level authorization), the data can be inadvertently disclosed to an unauthorized end user. 
         [0004]    Therefore, there is a need for an approach for de-personalizing data as to accommodate a wide range of applications. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0005]    Various exemplary embodiments are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings in which like reference numerals refer to similar elements and in which: 
           [0006]      FIG. 1  is a diagram of a system capable of providing data masking, according to an exemplary embodiment; 
           [0007]      FIGS. 2A and 2B  are a flowchart of a rule-based web data masking process, according to an exemplary embodiment; 
           [0008]      FIGS. 3A and 3B  are, respectively, a diagram of a data masking configuration engine of the system of  FIG. 1 , and a flowchart of a configuration process, according to an exemplary embodiment; 
           [0009]      FIG. 4  is a diagram of a web data masking proxy server of the system of  FIG. 1 , according to an exemplary embodiment; 
           [0010]      FIGS. 5A and 5B  are flowcharts of processes for handling the business rules by a web data masking proxy, according to various exemplary embodiments; 
           [0011]      FIGS. 6A-6C  are flowcharts for masking with respect to various business rules, according to exemplary embodiments; 
           [0012]      FIG. 7  is a diagram showing the web proxy configured to provide a real-time web data masking process, according to an exemplary embodiment; and 
           [0013]      FIG. 8  is a diagram of a computer system that can be used to implement various exemplary embodiments. 
       
    
    
     DESCRIPTION OF THE PREFERRED EMBODIMENTS 
       [0014]    A system, method, and software for masking data are described. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It is apparent, however, to one skilled in the art that the various exemplary embodiments may be practiced without these specific details or with an equivalent arrangement. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the exemplary embodiments. 
         [0015]    Although the various exemplary embodiments are described with respect to data masking of website content, it is contemplated that these embodiments have applicability to any mechanisms that de-personalizes data as well as other content. 
         [0016]      FIG. 1  is a diagram of a system capable of providing data masking, according to an exemplary embodiment. A data masking architecture is shown in which a data source  100  supplies data to a data destination  110 . By way of example, the data source  100  may be an application server or web server or web service or other middleware applications. Also, the data destination  110  can be a browser or a client application or web service or other middleware applications. Whenever the data from the data source  100  is accessed by the data destination  110 , the data is de-personalized (or sanitized). In an exemplary embodiment, the data source  100  stores web data, which can include xHTML (hypertext markup language) data, xXML (extended mark-up language) data, data through web service connections, scripts (e.g., Java™ Script, Perl Script, PHP, and etc.), or code base (e.g., CGI (common gateway interface), Applets and ActiveX controls using either hypertext transfer protocol (HTTP) or hypertext transfer protocol secure (HTTPS)). 
         [0017]    According to one embodiment, the data masking architecture includes a web data masking proxy  120 , a policy configuration engine  130 , a policy store  140 , a masking algorithm engine  150 , and a report server  170 . These components constitute a data masking portal  172  for masking the web data while accessing the data source  100 . The data masking operation, in an exemplary embodiment, can be performed on-the-fly. 
         [0018]    Before these clients can access web data from the source  100 , the end user is authenticated against an enterprise wide authentication system  180 , such as Single Sign On (SSO) or Windows Domain system. Based on the authentication and user configuration policy (resident within the policy store  140 ), the web data masking proxy  120  determines whether to mask the data or not. 
         [0019]    Policies that are created through the policy configuration engine  130  are stored in the policy store  140 . In general, the policy store  140  provides secure storage of sensitive data. The web data masking proxy  120  retrieves and checks the policy from this policy store  140  for updating of such policies. The policy configuration engine  130  permits creation and modification of the policies by the users; this is more fully described in  FIGS. 3A and 3B . 
         [0020]    Under this architecture, the report server  170  provides for logging of transactions of the portal  172 . In an exemplary embodiment, the report server  170  creates and stores logs for debugging and tracing purposes. In this manner, graphical reports and text reports can be generated based on the transactions. This reporting process can be performed on a daily basis to record information about daily transactions. 
         [0021]    Data de-personalization/sanitization extends beyond the technical obstacles. As noted previously, such de-personalization of data is mandated by law. The legal requirements for data sanitization vary from country to country. In the United States for example, the Gramm-Leach-Bliley Act requires institutions to protect the confidentiality and integrity of personal consumer information. The Right to Financial Privacy Act of 1978 creates statutory Fourth Amendment protection for financial records and there are a host of individual state laws. There are also a number of security and privacy requirements for personal information included in the Health Insurance Portability and Accountability Act of 1996 (HIPAA). 
         [0022]    With the European Union, Directive 95/46/EC of the European Parliament provides strict guidelines regarding individual rights to data privacy and the responsibilities of data holders to guard against misuse. The United Kingdom Data Protection Act of 1998 extends the European Parliament directive and places further statutory obligations on the holders of personal, private or sensitive data. 
         [0023]    Thus, any organization that, for example, outsources testing, development, and business processing operations needs to be conscious of the specific laws regulating the transmission of information across national borders. However large, the legal liabilities associated with such violations are, the costs may be trivial in comparison to the losses associated with the catastrophic loss of business confidence that is caused by a large scale privacy breach. 
         [0024]      FIGS. 2A and 2B  are a flowchart of a rule-based web data masking process, according to an exemplary embodiment. In step  210 , the web data masking portal  172  receives a Uniform Resource Locator (URL) request from a corresponding browser or client or web server or web service or other middleware applications as per the data source  100  in the web data masking portal  172 . URL requests are the web data requests, which can be using either HTTP or HTTPS protocols. In step  215 , web data masking proxy  120  in the portal  172  intercepts the URL request then proceeds to authenticate the user, using for example, Single Sign On (SSO) or Windows Domain system, as in step  220 , based on the user inputs. If the determination is in the affirmative, per step  225 , the user can invoke action (per step  230 ); however, if the determination is negative, the work flow ends. In step  230 , web data masking proxy  120  retrieves the URL content from its application server. In step  240 , web data masking proxy  120  in the portal  172  searches for the policy (e.g., HTML policy) that is available locally. If a policy exists, as determined in step  245 , the time stamp of the policy is retrieved and compared, per step  250 ; otherwise, a “dummy” time stamp is set and the policy in the policy store  140  is verified (step  255 ). 
         [0025]    In step  260 , the process searches for existence of the policy in the policy store  140 . If such a policy is not found within the policy store, per step  260 , no masking is performed, per step  265 . Specifically, in step  265 , the process passes the data back, without masking, to the user as response to the users URL request. However, if the policy resides within the policy store, the time stamp value is checked (per step  270 ), as shown in  FIG. 2B . Namely, the process verifies the time stamp and retrieves the latest policy from policy store  140  (steps  270  and  275 ). 
         [0026]    Next, the process verifies the user status by determining whether the user is a white-listed user, per step  278 . In step  280 , if the user is not white-listed, the process interprets the policy and proceeds to apply masking, as in step  285 , using the masking algorithm engine  150  in the portal  172 . Finally, in step  290 , the user receives the resultant data as a response to the URL request. 
         [0027]      FIGS. 3A and 3B  are, respectively, a diagram of a data masking configuration engine of the system of  FIG. 1 , and a flowchart of a configuration process, according to an exemplary embodiment. 
         [0028]    As shown in  FIG. 3A , the policy configuration engine  130  permits configuration of policies for applications individually. The policy configuration engine  130  steps the user through a series of input and selection options to specify the configuration. According to an exemplary embodiment, the policy configuration engine  130  can include an authentication engine  310 , an application interface  315 , a policy store interface  320 , an algorithm interface  325 , and a configuration engine  330 . 
         [0029]    This policy configuration engine  130  is authenticated against the SSO/Domain infrastructure  180  so that an authorized user can utilize this policy configuration engine  130 . Once authenticated, the user can be provided with a choice to configure a new application or reconfigure existing application, which is obtained from the policy store  140  through the policy store interface  320 . During the configuration process, the user can browse available applications through, for instance, inbuilt browser interface, denoted as the application interface  315 . Once the applications contents are obtained from the applications, the configuration engine  330  parses through the entire content of the page and lists down all words, individual table, or an individual field to configure as per the legal requirements, for example. 
         [0030]    Upon selecting the individual word and table or the parameter from the application, the algorithms available in masking algorithm engine  150  in web data masking portal  172 , can be loaded using the algorithm interface  325  for configuration of the masking policy for each application. Once all required parameters or fields required for an application are configured with the respective algorithm and the salt value required for the application or field, the configuration engine  330  can create an extended mark-up language (XML) or hypertext mark-up language (HTML) policy according to each application and stored on the policy store  140 . In addition, the user details of those who need the data not to be masked are added in the policy. In this manner, based on the user authentication, the web data masking proxy  120  can decide whether the data is to be masked or not depending on the policy. 
         [0031]    The operation of the policy configuration engine  130  in the web data masking portal  172  is illustrated in  FIG. 3B . In step  340 , the user is authenticated based on the user inputs through, for instance, a login-policy configuration utility. The process, per step  345 , determines whether the user seeks to create a new policy or to reconfigure an existing (i.e., already created) policy. If the determination is made to reconfigure a pre-existing policy, then the process loads the policy by retrieving the policy from the policy store  140  (step  350 ). In step  355 , the process reads the URL from the policy content and retrieves the URL content from the application server, parsing the content into string tokens ( 360 ). The process also allows the user to modify or remove or add new business rules as part of the policy, per step  365 . 
         [0032]    If, however, the user wishes to create a new policy (as determined back in step  345 ), the process obtains the URL, per step  370 , for creating the new policy, and then retrieves the URL content. The content is parsed into string tokens, as in step  375 . In step  380 , user can set up the business rules for applying the masking techniques, then proceeds to step  385 . 
         [0033]    In step  385 , the application owner has the option to configure the list of white-listed users for this application and complete the configuration of the policy (per step  390 ). The white-listed users can be either individual user-ID (user identifier) or a domain(s), so that the masking can be applied to everyone except the white-listed users. In step  395 , the policy is sent to the policy store  140  in the web data masking portal  172 . 
         [0034]      FIG. 4  is a diagram of a web data masking proxy of the system of  FIG. 1 , and a flowchart of a data masking process, according to an exemplary embodiment. Any user, who uses a browser or other graphical user interface (GUI), such as a Windows client or any other middleware applications, to connect to an application server or web server through Hyper Text Transfer Protocol (HTTP) or HTTP Secure (HTTPS), can utilize the web data masking proxy  120  to access any of the applications or web server of the data source  100 . Hence, the web data masking proxy  120 , according to one embodiment, can act as HTTP or HTTPS proxy. 
         [0035]    As shown, the web data masking proxy  120 , in an exemplary embodiment, includes a request listener  410 , an authorization engine  420 , a service interface listener  430 , a business rule processing engine  440 , a masking engine  450 , and a response broker  460 . The request listener  410  listens to requests and fetches the data from the respective application server for such requests. If the application server is enabled with SSO or Domain authentication process, the server can redirect to get authenticated. Based on the request and the user authentication, the authorization engine  420  authorizes whether the data is to be masked based on the user information, which is specified in, e.g., an HTML policy stored the policy store  140 . 
         [0036]    According to one embodiment, the web data masking proxy  120  performs a web data masking service based on the request and the user authentication result. For instance, the service interface listener  330  can listen to various services needed with in the request for various data access, load the HTML policy for the respective application, load the appropriate algorithm in the session, perform session maintenance, log the connection information in the reporting servers, etc. 
         [0037]    Once the data is retrieved from the respective data source, the business rule processing engine  440  processes the policy and identify the various types of business rules. The engine  440  accordingly calls the appropriate algorithm to the data masking engine  450  to perform the respective masking operation using the algorithm and policy of the respective application to generate the masked data. Once the masking is completed, the masked data is output to the response broker  460 , which then renders the resultant data to the respective requesting application. 
         [0038]      FIGS. 5A and 5B  are flowcharts of processes for handling the business rules by a web data masking proxy, according to various exemplary embodiments. These processes are described with respect to the business rule processing engine  440  of the web data masking proxy  120  ( FIG. 4 ). This engine  440  processes the business rules of the HTML policy as follows. As seen in  FIG. 5A , the process extracts the existing business rules in the policy and loops through for all the business rules one at a time (per steps  505  and  507 ). Next, per step  510 , the process determines whether a business rule exists, in which the rule has not been processed. If such a rule exists, for the process proceeds to read the next business rule, as in step  512 . If no business rule exists, the process ends. In step  515 , the business rule category is identified, and masking is applied. 
         [0039]    In step  520 , the process reads the scope of the business rule and determines whether is the scope is global or limited (e.g., to a page), per step  525 . If the scope is determined to be of a global scope, then the business rule is stored in a global queue, per step  528 . Otherwise, the process reads the next business rule, per step  530 . 
         [0040]      FIG. 5B  shows the details of the step of identifying the business rule category and application of the masking scheme. In step  555 , the process identifies the business rule category; by way of example, these categories include string token, hyperlink, pattern and table column. If the business rule category is determined as string token, as in step  560 , then the masking algorithm engine  150  in web data masking portal  172  is called (or invoked) with parameters, such as token name, algorithm name, and salt value. After receiving the masked data from the masking algorithm engine  150 , per step  562 , the process searches for existence of any other similar string tokens in the page content. If such strings are found, then they are replaced with masked data, as in step  565 . 
         [0041]    If the business rule category is a hyperlink type business rule, as determined step  570 , steps  562  and  565  can be performed with the hyperlink information. That is, after receiving the masked data from masking algorithm engine  150 , the process searches for similar hyperlink tokens within the page content; if any hyperlink tokens are found, they are replaced with the masked data. 
         [0042]    If the business rule category is a pattern type business rule, as determined in step  575 , a search for the pattern type is conducted to further determine whether the pattern is a key pattern or value pattern (steps  578  and  580 ). Based on this determination, an appropriate call is made. Namely, if a key pattern type is found, the process makes a call to Pattern by Key routine as in step  582 ; otherwise, the process makes a call to Pattern by Value routine, per step  585 . In step  588 , the process searches for existence of any other similar pattern tokens in the page content. If such patterns are found, they are replaced with output data. Thereafter the masking process ends. Data masking in the context of patterns are more fully described with respect to  FIGS. 6B and 6C . 
         [0043]    As shown in  FIG. 5B , yet another business rule category is specified—that of a table column type. Specifically, in step  590 , the process determines whether the category is a Table column type. If so, data masking is applied to the table column (step  592 ); this step is further detailed below with respect to  FIG. 6A . Next, the process searches for similar tabular column tokens in the page content, per step  595 . If it finds any, then it will be replaced with masked data as per step  595  then the process ends. 
         [0044]    Although the above processes are described with respect to exemplary categories of string token, hyperlink, pattern, and table column, it is recognized that any content type can be defined (e.g., images, etc.). 
         [0045]      FIGS. 6A-6C  are flowcharts for masking with respect to various business rules, according to various exemplary embodiments. As seen in  FIG. 6A , in step  605 , the process searches for a tabular column heading as well as the matching tabular column data in the page content (step  608 ). Next, it is determined whether any matching tabular column exists in the page, per step  610 . If a match is found, the process reads all the data under the tabular column (step  612 ) and passes, e.g., table column data elements set, algorithm name, and salt value, to the masking algorithm engine  150  in web data masking portal  172  as parameters (step  615 ). In step  618 , the process replaces the table column data with the masked data. In step  620 , the process searches for another tabular column with the same tabular column heading within the page; steps  610 - 618  are performed for all tabular columns. 
         [0046]    Turning back to the pattern type business rule categories, as illustrated in  FIG. 6B , the process reads the pattern name and the pattern format as in steps  625  and  628 . The process essentially functions as a “find and replace” action. Accordingly, in steps  630 - 640 , matching text with the pattern name is found, resulting in replacement of the matching text with the masked data; the process and loops through for all occurrences. The loop is exited if matching text is not found, in which case, the process ends. 
         [0047]    As in the case of masking pattern by key ( FIG. 6C ), in step  645 , the process reads the format rules and stores them in memory for further processing. For example, digit 9 can be used for representing a numeral, and an alphabet “A” is used for representing the alphabet in the original data—e.g., the pattern name 999-99-9999 represents all SSN numbers. In step  648 , the pattern format is read for masking; e.g., 999-xx-xxx9 shows the SSN numbers in masked format by blocking the digits from 4-8th digits. Next, in step  650 , the process determines the length of the pattern format and finds all the text with the same length in the original data as in the step  652 . In step  655 , the process checks for existence of any text with the same length as with the pattern format length. If the determination in step  655  is true, then the process goes through cycle of find matching strings from step  658  to step  680 . 
         [0048]    In step  658 , the process initializes the masked text as empty string and then reads the pattern format name character by character, per step  660 . If the pattern format character is 9 or A, then the corresponding positional character of the original text gets appended to the masked string as in steps  665  and  668 . If the pattern format character is “x,” then the corresponding positional character of the original text will not be appended to the masked string, instead the letter “x” is appended (steps  665  and  670 ). The next character in the string text is examined, per step  675 . The steps  665 - 675  are repeated for all the characters in the pattern format text. In step  678 , replacement of the original matching data with the final masked string formed in step  670  is performed. In step  680 , the process searches for the next matching text string, and returns to step  655 . If the determination in step  655  is false, then the process ends. 
         [0049]      FIG. 7  is a diagram showing the web proxy configured to provide a real-time web data masking process, according to an exemplary embodiment. By way of example, the web data masking proxy  120  includes a thread management component  702  and various routines  704  for handling the masking processes associated with different business rule categories. 
         [0050]    The web data masking proxy  120  listens to, for example, HTTP/HTTPS requests from disparate clients  110 . The thread management component  702  creates an individual thread for each request. These requests are authenticated by the SSO Authentication system  180  externally. The SSO authentication system  180  comprises one or more application servers. As evident from the prior description of the masking processes, the web data masking proxy  120  processes the requests by interacting with such components as the policy store  140 , the masking algorithm engine  150 , and appropriate application servers. After completion of processing the requests, the responses will be passed back to respective web clients  110 . 
         [0051]    The above described processes relating to data masking may be implemented via software, hardware (e.g., general processor, DSP chip, an application specific integrated circuit (ASIC), field programmable gate arrays (FPGAs), etc.), firmware, or a combination thereof. Such exemplary hardware for performing the described functions is detailed below. 
         [0052]      FIG. 8  illustrates a computer system  800  upon which an embodiment according to an exemplary embodiment can be implemented. For example, the processes described herein can be implemented using the computer system  800 . The computer system  800  includes a bus  801  or other communication mechanism for communicating information and a processor  803  coupled to the bus  801  for processing information. The computer system  800  also includes main memory  805 , such as a random access memory (RAM) or other dynamic storage device, coupled to the bus  801  for storing information and instructions to be executed by the processor  803 . Main memory  805  can also be used for storing temporary variables or other intermediate information during execution of instructions by the processor  803 . The computer system  800  may further include a read only memory (ROM)  807  or other static storage device coupled to the bus  801  for storing static information and instructions for the processor  803 . A storage device  809 , such as a magnetic disk or optical disk, is coupled to the bus  801  for persistently storing information and instructions. 
         [0053]    The computer system  800  may be coupled via the bus  801  to a display  811 , such as a cathode ray tube (CRT), liquid crystal display, active matrix display, or plasma display, for displaying information to a computer user. An input device  813 , such as a keyboard including alphanumeric and other keys, is coupled to the bus  801  for communicating information and command selections to the processor  803 . Another type of user input device is a cursor control  815 , such as a mouse, a trackball, or cursor direction keys, for communicating direction information and command selections to the processor  803  and for controlling cursor movement on the display  811 . 
         [0054]    According to one embodiment contemplated herein, the processes described are performed by the computer system  800 , in response to the processor  803  executing an arrangement of instructions contained in main memory  805 . Such instructions can be read into main memory  805  from another computer-readable medium, such as the storage device  809 . Execution of the arrangement of instructions contained in main memory  805  causes the processor  803  to perform the process steps described herein. One or more processors in a multi-processing arrangement may also be employed to execute the instructions contained in main memory  805 . In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement certain embodiments. Thus, the exemplary embodiments are not limited to any specific combination of hardware circuitry and software. 
         [0055]    The computer system  800  also includes a communication interface  817  coupled to bus  801 . The communication interface  817  provides a two-way data communication coupling to a network link  819  connected to a local network  821 . For example, the communication interface  817  may be a digital subscriber line (DSL) card or modem, an integrated services digital network (ISDN) card, a cable modem, a telephone modem, or any other communication interface to provide a data communication connection to a corresponding type of communication line. As another example, communication interface  817  may be a local area network (LAN) card (e.g. for Ethernet™ or an Asynchronous Transfer Model (ATM) network) to provide a data communication connection to a compatible LAN. Wireless links can also be implemented. In any such implementation, communication interface  817  sends and receives electrical, electromagnetic, or optical signals that carry digital data streams representing various types of information. Further, the communication interface  817  can include peripheral interface devices, such as a Universal Serial Bus (USB) interface, a PCMCIA (Personal Computer Memory Card International Association) interface, etc. Although a single communication interface  817  is depicted in  FIG. 8 , multiple communication interfaces can also be employed. 
         [0056]    The network link  819  typically provides data communication through one or more networks to other data devices. For example, the network link  819  may provide a connection through local network  821  to a host computer  823 , which has connectivity to a network  825  (e.g. a wide area network (WAN) or the global packet data communication network now commonly referred to as the “Internet”) or to data equipment operated by a service provider. The local network  821  and the network  825  both use electrical, electromagnetic, or optical signals to convey information and instructions. The signals through the various networks and the signals on the network link  819  and through the communication interface  817 , which communicate digital data with the computer system  800 , are exemplary forms of carrier waves bearing the information and instructions. 
         [0057]    The computer system  800  can send messages and receive data, including program code, through the network(s), the network link  819 , and the communication interface  817 . In the Internet example, a server (not shown) might transmit requested code belonging to an application program for implementing an exemplary embodiment through the network  825 , the local network  821  and the communication interface  817 . The processor  803  may execute the transmitted code while being received and/or store the code in the storage device  809 , or other non-volatile storage for later execution. In this manner, the computer system  800  may obtain application code in the form of a carrier wave. 
         [0058]    The term “computer-readable medium” as used herein refers to any medium that participates in providing instructions to the processor  803  for execution. Such a medium may take many forms, including but not limited to non-volatile media, volatile media, and transmission media. Non-volatile media include, for example, optical or magnetic disks, such as the storage device  809 . Volatile media include dynamic memory, such as main memory  805 . Transmission media include coaxial cables, copper wire and fiber optics, including the wires that comprise the bus  801 . Transmission media can also take the form of acoustic, optical, or electromagnetic waves, such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, CDRW, DVD, any other optical medium, punch cards, paper tape, optical mark sheets, any other physical medium with patterns of holes or other optically recognizable indicia, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave, or any other medium from which a computer can read. 
         [0059]    Various forms of computer-readable media may be involved in providing instructions to a processor for execution. For example, the instructions for carrying out various embodiments may initially be borne on a magnetic disk of a remote computer. In such a scenario, the remote computer loads the instructions into main memory and sends the instructions over a telephone line using a modem. A modem of a local computer system receives the data on the telephone line and uses an infrared transmitter to convert the data to an infrared signal and transmit the infrared signal to a portable computing device, such as a personal digital assistant (PDA) or a laptop. An infrared detector on the portable computing device receives the information and instructions borne by the infrared signal and places the data on a bus. The bus conveys the data to main memory, from which a processor retrieves and executes the instructions. The instructions received by main memory can optionally be stored on storage device either before or after execution by processor. 
         [0060]    In the preceding specification, various preferred embodiments have been described with reference to the accompanying drawings. It will, however, be evident that various modifications and changes may be made thereto, and additional embodiments may be implemented, without departing from the broader scope of the invention as set forth in the claims that flow. The specification and the drawings are accordingly to be regarded in an illustrative rather than restrictive sense. 
         [0061]    The following patent applications are incorporated herein by reference in their entireties: co-pending U.S. patent application Ser. No. (Attorney Docket No. 20070143) filed ______, entitled “Method and Apparatus for providing a Data Masking Portal”; and co-pending U.S. patent application Ser. No. (Attorney Docket No. 20070311) filed ______, entitled “Method and System for Masking Data.”

Technology Category: 5