Patent Publication Number: US-2022229934-A1

Title: Recursively adapting a sensitive content masking technique

Description:
BACKGROUND 
     The present invention relates generally to the field of computing, and more particularly to a system for recursively adapting a sensitive content masking technique for different users. 
     Increasingly, users of information technology (IT) systems are required to handle sensitive information. Sensitive information may include Personally Identifiable Information (PII). Examples of PII may include any information that can identify a specific individual, such as a social security number, street address, and date of birth. Sensitive information may also include other Sensitive Personal Information (SPI), such as email address, telephone number, race, ethnicity, and political affiliation. Furthermore, sensitive information includes any information that an individual, or company, may wish to keep private. When a primary user needs to share an original document containing sensitive information with a secondary user, each secondary user may not have the same permissions as that of the primary user. Thus, each secondary user may receive an alternate version of the original document. 
     SUMMARY 
     According to one embodiment, a method, computer system, and computer program product for recursively adapting a sensitive content masking technique is provided. The embodiment may include receiving a request from a primary user to share an original document. The primary user may configure a parameter by which sensitive information is masked. The embodiment may also include receiving an identity of a secondary user who needs access to a masked version of the original document. The identity of the second user may be submitted by the primary user. The secondary user may have different permissions to view sensitive information than that of the primary user. The embodiment may further include scanning the original document for sensitive information and identifying sensitive information in the original document. The identified sensitive information may be displayed to the primary user. The embodiment may also include generating a masked value for each piece of identified sensitive information based on the permissions of the secondary user. The masked value of each piece of identified sensitive information may then be incorporated into the masked version of the original document. The embodiment may further include presenting the masked version of the original document to the secondary user. The embodiment may also include indexing the masked version of the original document. The embodiment may further include receiving a query from the primary user for the masked version of the original document in the index that was presented to the secondary user. 
    
    
     
       BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS 
       These and other objects, features and advantages of the present invention will become apparent from the following detailed description of illustrative embodiments thereof, which is to be read in connection with the accompanying drawings. The various features of the drawings are not to scale as the illustrations are for clarity in facilitating one skilled in the art in understanding the invention in conjunction with the detailed description. In the drawings: 
         FIG. 1  illustrates an exemplary networked computer environment according to at least one embodiment. 
         FIG. 2  illustrates an operational flowchart for recursively adapting a sensitive content masking technique in a sensitive content masking process according to at least one embodiment. 
         FIG. 3  is a functional block diagram of internal and external components of computers and servers depicted in  FIG. 1  according to at least one embodiment. 
         FIG. 4  depicts a cloud computing environment according to an embodiment of the present invention. 
         FIG. 5  depicts abstraction model layers according to an embodiment of the present invention. 
     
    
    
     DETAILED DESCRIPTION 
     Detailed embodiments of the claimed structures and methods are disclosed herein; however, it can be understood that the disclosed embodiments are merely illustrative of the claimed structures and methods that may be embodied in various forms. This invention may, however, be embodied in many different forms and should not be construed as limited to the exemplary embodiments set forth herein. In the description, details of well-known features and techniques may be omitted to avoid unnecessarily obscuring the presented embodiments. 
     It is to be understood that the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a component surface” includes reference to one or more of such surfaces unless the context clearly dictates otherwise. 
     Embodiments of the present invention relate to the field of computing, and more particularly to a system for recursively adapting a sensitive content masking technique for different users. The following described exemplary embodiments provide a system, method, and program product to, among other things, broadly mask sensitive information in an original document and, accordingly, deliver a masked version of that document to a user based on the permissions of that user. Therefore, the present embodiment has the capacity to improve the technical field of data masking by easing the sharing of documents within a company, without exposing sensitive information and while preserving readability in the documents. 
     As previously described, users of information technology (IT) systems are required to handle sensitive information. Sensitive information may include Personally Identifiable Information (PII). Examples of PII may include any information that can identify a specific individual, such as a social security number, street address, and date of birth. Sensitive information may also include other Sensitive Personal Information (SPI), such as email address, telephone number, race, ethnicity, and political affiliation. Furthermore, sensitive information includes any information that an individual, or company, may wish to keep private. When a primary user needs to share an original document containing sensitive information with a secondary user, each secondary user may not have the same permissions as that of the primary user. Thus, each secondary user may receive an alternate version of the original document. This alternate version may be required to comply with government, or company, regulations regarding dissemination of sensitive information. This problem is typically addressed by redacting every piece of sensitive information in the original document. However, removing all sensitive information from the original document may render the redacted version unreadable. In addition, it may be difficult for the primary user to understand a question from the secondary user if each secondary user is given a different redacted version of the original document. It may therefore be imperative to have a system in place to implement a broader masking technique which preserves readability without exposing sensitive information. Thus, embodiments of the present invention may provide advantages including, but not limited to, reducing the number of alternate versions of an original document that are disseminated to each secondary user, increasing worker productivity, and safeguarding sensitive information. 
     According to at least one embodiment, the system may receive a request from a primary user to share an original document with a secondary user. In submitting the request, the primary user may configure a parameter by which sensitive information is masked. The system may then receive an identity of the second user, from the primary user, who needs access to a masked version of the original document. The secondary user may have different permissions, i.e., fewer permissions, than that of the primary user. The system may scan the original document for sensitive information. Upon scanning the original document, the system may identify sensitive information in the original document. Sensitive information may include Personally Identifiable Information (PII), which includes information that can identify a specific individual, such as a social security number, street address, and date of birth. Sensitive information may also include other Sensitive Personal Information (SPI), such as email address, telephone number, race, ethnicity, political affiliation, and a monetary value. Furthermore, sensitive information may include any information that an individual, or company, may wish to keep private. The system may then display the sensitive information to the primary user. The system may generate a masked value for each piece of identified sensitive information based on the permissions of the secondary user. The masked value of each piece of identified sensitive information may then be incorporated into the masked version of the original document. The system may then present the masked version of the original document to the secondary user. The system may index the masked version of the original document. The system may then receive a query from the primary user for the masked version of the original document in the index that was presented to the secondary user. 
     The present invention may be a system, a method, and/or a computer program product at any possible technical detail level of integration. The computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention. 
     The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire. 
     Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device. 
     Computer readable program instructions for carrying out operations of the present invention may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, configuration data for integrated circuitry, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++, or the like, and procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions may execute entirely on the user&#39;s computer, partly on the user&#39;s computer, as a stand-alone software package, partly on the user&#39;s computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user&#39;s computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present invention. 
     Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions. 
     These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks. 
     The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks. 
     The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the Figures. For example, two blocks shown in succession may, in fact, be executed concurrently or substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions. 
     The following described exemplary embodiments provide a system, method, and program product to broadly mask sensitive information in an original document and, accordingly, deliver a masked version of that document to a user based on the permissions of that user. 
     Referring to  FIG. 1 , an exemplary networked computer environment  100  is depicted, according to at least one embodiment. The networked computer environment  100  may include client computing device  102  and a server  112  interconnected via a communication network  114 . According to at least one implementation, the networked computer environment  100  may include a plurality of client computing devices  102  and servers  112 , of which only one of each is shown for illustrative brevity. 
     The communication network  114  may include various types of communication networks, such as a wide area network (WAN), local area network (LAN), a telecommunication network, a wireless network, a public switched network and/or a satellite network. The communication network  114  may include connections, such as wire, wireless communication links, or fiber optic cables. It may be appreciated that  FIG. 1  provides only an illustration of one implementation and does not imply any limitations with regard to the environments in which different embodiments may be implemented. Many modifications to the depicted environments may be made based on design and implementation requirements. 
     Client computing device  102  may include a processor  104  and a data storage device  106  that is enabled to host and run a software program  108  and a sensitive content masking program  110 A and communicate with the server  112  via the communication network  114 , in accordance with one embodiment of the invention. Client computing device  102  may be, for example, a mobile device, a telephone, a personal digital assistant, a netbook, a laptop computer, a tablet computer, a desktop computer, or any type of computing device capable of running a program and accessing a network. As will be discussed with reference to  FIG. 3 , the client computing device  102  may include internal components  302   a  and external components  304   a , respectively. 
     The server computer  112  may be a laptop computer, netbook computer, personal computer (PC), a desktop computer, or any programmable electronic device or any network of programmable electronic devices capable of hosting and running a sensitive content masking program  110 B and a database  116  and communicating with the client computing device  102  via the communication network  114 , in accordance with embodiments of the invention. As will be discussed with reference to  FIG. 3 , the server computer  112  may include internal components  302   b  and external components  304   b , respectively. The server  112  may also operate in a cloud computing service model, such as Software as a Service (SaaS), Platform as a Service (PaaS), or Infrastructure as a Service (IaaS). The server  112  may also be located in a cloud computing deployment model, such as a private cloud, community cloud, public cloud, or hybrid cloud. 
     According to the present embodiment, the sensitive content masking program  110 A,  110 B may be a program capable of scanning an original document for sensitive information, generating a masked value for each piece of identified sensitive information, presenting the appropriate masked version of the original document to each secondary user, reducing the number of alternate versions of an original document that are disseminated to each secondary user, increasing worker productivity, and safeguarding sensitive information. The sensitive content masking method is explained in further detail below with respect to  FIG. 2 . 
     Referring now to  FIG. 2 , an operational flowchart for recursively adapting a sensitive content masking technique in a sensitive content masking process  200  is depicted according to at least one embodiment. At  202 , the sensitive content masking program  110 A,  110 B receives the request from the primary user to share the original document. Using a software program  108  on the primary user&#39;s device, the primary user may submit the request to share the original document with the secondary user. In submitting the request, the primary user may configure the parameter by which sensitive information is masked. The parameter may include specifying how to generate the masked value for each piece of identified sensitive information. For example, the primary user may specify a database to be accessed by the sensitive content masking program  110 A,  110 B, where the database contains possible masked values for each piece of identified sensitive information. In addition, the primary user may configure a range for a numerical value, described in further detail below in step  210 . As used herein, “primary user” means a user who has all of the permissions to access sensitive information. In some embodiments, an administrator may configure the parameter by which sensitive information is masked. The administrator may be the primary user, or may be different than the primary user. For purposes of the present embodiment, the administrator is also the primary user. Thus, the primary user may access the original document as written. For example, the primary user may be a partner in a law firm. As used herein, “secondary user” means a user who has different permissions, i.e., fewer permissions, than that of the primary user. Continuing the example above, the secondary user may be an associate in the law firm. Furthermore, if there are a plurality of secondary users, one secondary user may have different permissions than that of another secondary user. Continuing the example above, the associate may have different permissions than a paralegal, the paralegal may have different permissions than a receptionist, and so on. Therefore, embodiments of the present invention provide for a hierarchal structure of viewing sensitive information based on the permissions of the various users. 
     Then, at  204 , the sensitive content masking program  110 A,  110 B receives the identity of the secondary user who needs access to the masked version of the original document. As described above, the secondary user has different permissions, i.e., fewer permissions, than that of the primary user. The identity of the secondary user may be received from the primary user. For example, when the primary user submits the request to share the original document, the primary user may search for and select the name of the secondary user who will receive the masked version of the original document, explained in further detail below. 
     Next, at  206 , the sensitive content masking program  110 A,  110 B scans the original document for sensitive information. As described above, sensitive information may include Personally Identifiable Information (PII), which includes information that can identify a specific individual, such as a social security number, street address, and date of birth. Sensitive information may also include other Sensitive Personal Information (SPI), such as email address, telephone number, race, ethnicity, political affiliation, and a monetary value. Furthermore, sensitive information may include any information that an individual, or company, may wish to keep private. The sensitive content masking program  110 A,  110 B may utilize known machine learning (ML) techniques, such as natural language processing (NLP), to scan the original document for various types of sensitive information. 
     Then, at  208 , the sensitive content masking program  110 A,  110 B identifies the sensitive information in the original document. The identified sensitive information, along with a classification and sensitivity level of that sensitive information, may be displayed to the primary user, explained in further detail below in this step. As described above, the sensitive content masking program  110 A,  110 B may utilize ML techniques, such as NLP, to identify sensitive information in the original document. Also, regular expression may be used to identify sensitive information based on patterns in the sensitive information. For example, social security numbers are often written in the form of “XXX-YY-ZZZZ.” Regular expression may be used to notice the hyphens in the data and how many characters are separated by the hyphens. Accordingly, if the original document contains data in the form of “XXX-YY-ZZZZ,” this data would be identified as sensitive information. Furthermore, the identified sensitive information may be classified, using ML techniques and based on historical data, according to type and level of sensitivity. According to at least one embodiment, the level of sensitivity may be a quantitative scale from “1-3,” where “1” indicates the information is highly sensitive, “2” indicates the information is moderately sensitive, and “3” indicates low sensitivity for the information. Continuing the example above, data in the form of “XXX-YY-ZZZZ” may be classified as a social security number. Since a social security number can be a basis for fraud and directly traced back to a specific individual, the social security number may be issued a “1” rating. In another example, data in the form of “@yyymail.com” may be classified as an email address. Since an email address is often known by multiple individuals, the email address may be issued a “3” rating. 
     Next, at  210 , the sensitive content masking program  110 A,  110 B generates the masked value for each piece of identified sensitive information. The masked value for each piece of identified sensitive information is then incorporated into the masked version of the original document. The sensitive content masking program  110 A,  110 B may use a masking component, such as IBM&#39;s InfoSphere® tools (InfoSphere and all InfoSphere-based trademarks and logos are trademarks or registered trademarks of International Business Machines Corporation and/or its affiliates) to generate the masked value. The masked value generated may be based on the configuration specified by the primary user and the permissions of the secondary user, i.e., what type and level of sensitive information the secondary user is allowed to see. Prior to generating the masked value, the sensitive content masking program  110 A,  110 B may perform a check when there are one or more additional secondary users. If there are one or more additional secondary users, one or more additional masked versions of the original document may be generated based on the permissions of each additional secondary user. The check may determine the permissions of each additional secondary user, and for two or more additional secondary users with the same permissions, the same masked value may be generated for those additional secondary users. For example, if two additional secondary users are not allowed to see the street of a particular individual, but both are allowed to see the city, the same masked value for the street may be shown to both additional secondary users, along with the original value for just the city. This may ensure the fewest masked versions of the original document as possible. 
     As described above in step  202 , the database specified by the primary user during configuration may contain possible masked values for each piece of identified sensitive information. For example, the database may be a table of values from which to substitute the original value of sensitive information with a broad masked value for that information. The table of values may be obtained from a dictionary of names, a phone book, an address book, a university registry, a medical database, and/or any other database from which substitutes may be obtained. For example, John Doe, Mary Smith, and Bob Johnson may be the names of actual people in the original document. The sensitive content masking program  110 A,  110 B may substitute the original names with broader masked names in the masked version of the original document based on the permissions of the secondary user. If the secondary user is not allowed to see either the first name or last name, “James” may be substituted for “John Doe,” “Becky” may be substituted for “Mary Smith,” and “Timothy” may be substituted for “Bob Johnson.” Continuing the example, the addresses of John Doe, Mary Smith, and Bob Johnson may be disclosed in the original document. The secondary user may not be allowed to see any part of the address. In this instance, if John Doe lives at 21 Main Street in zip code 10001, “40 Worth Street” may be substituted for “21 Main Street in zip code 10001.” In other instances, the secondary user may have permissions to see part of a name and/or part of an address. For example, the secondary user may be allowed to see all parts of a home address except for the street number. In this case, the secondary user may see “country, city, and street” in the masked version of the original document instead of “country, city, street, home number.” In yet another instance, again depending on the permissions of the secondary user, a range may be substituted for a numerical value. For example, the secondary user may not be allowed to see a specific monetary amount or date of a transaction. If “$50” is shown in the original document, “$25-$75” may be substituted for “$50” in the masked version of the original document. If the sensitive information is a transaction date, such as “Nov. 11, 2020,” the range “Oct. 1, 2020-Dec. 1, 2020” may be substituted for “Nov. 11, 2020” in the masked version of the original document. These broader masked values preserve privacy of the entities being discussed without making the masked version of the original document difficult to read. Additionally, the name mentioned in the original document may be the name of a company. For example, a retail company such as Walmart® (Walmart and all Walmart-based trademarks and logos are trademarks or registered trademarks of Walmart, Inc. and/or its affiliates) may be named in the original document. Depending on the permissions of the secondary user, the broader “retail company” may be substituted for “Walmart®” in the original document. Thus, in generating the masked value, a sensitive word may be mapped to a broader word. 
     Then, at 212, the sensitive content masking program  110 A,  110 B, if there are one or more additional secondary users, suggests one or more groups of additional secondary users to the primary user. The suggested one or more groups of additional secondary users may be based on the permissions of each additional secondary user. For example, in a law firm two junior associates may have the same permissions. The sensitive content masking program  110 A,  110 B may suggest to the primary user that these two junior associates be put into the same group. Thus, members in the same group may have the same permissions. 
     Next, at  214 , the sensitive content masking program  110 A,  110 B presents the masked version of the original document to the secondary user. When there are one or more additional secondary users, each additional secondary user in the same group may receive the same additional masked version of the original document. Thus, if the primary user wishes to share the original document with only one secondary user, only one masked version of the original document may be generated based on the permissions of that one secondary user. If there are one or more additional secondary users, the one or more additional masked versions of the original document may be presented to each additional secondary user. 
     Then, at  216 , the sensitive content masking program  110 A,  110 B indexes the masked version of the original document. If generated, the one or more additional masked versions of the original document may also be indexed. The masked version of the original document and any additional masked versions may be indexed using any full text search engine such as Elasticsearch® (Elasticsearch and all Elasticsearch-based trademarks and logos are trademarks or registered trademarks of Elasticsearch BV and/or its affiliates). The masked version of the original document received by the secondary user may be stored in a storage database. If generated, the one or more additional masked versions of the original document that were presented to each additional secondary user may also be stored in the storage database. Furthermore, the sensitivity type and level of a piece of sensitive information may be mapped to the masked value generated for that piece of sensitive information. For example, “John Doe, Sensitivity Type-Name, Sensitivity Level-1” may be mapped to “James,” and this information may also be stored in the storage database. 
     Next, at  218 , the sensitive content masking program  110 A,  110 B receives the query from the primary user for the masked version of the original document in the index that was presented to the secondary user. If generated, the query may also be received for the one or more additional masked versions of the original document in the index that were presented to each additional secondary user. The primary user may utilize the search engine described above to query both the original document and the masked version of the original document that was presented to the secondary user and, if generated, the one or more additional masked versions of the original document that were presented to each additional secondary user. In response to the query, the masked version of the original document that was presented to the secondary user may be returned to the primary user, along with the identity of the secondary user who received the masked version of the original document. If generated, the one or more additional masked versions of the original document that were presented to each additional secondary user may also be returned to the primary user, along with the identities of each additional secondary user and which additional secondary user received which additional masked version of the original document. In this manner, if the secondary user and/or one or more additional secondary users has a question for the primary user about an element in the masked version of the original document and/or the one or more additional masked versions of the original document, the primary user may see the masked value of sensitive information that was presented to the secondary user and/or the one or more additional secondary users. Thus, the primary user would be able to understand the topic with which the secondary user and/or the one or the one or more additional secondary users is discussing. 
     It may be appreciated that  FIG. 2  provides only an illustration of one implementation and does not imply any limitations with regard to how different embodiments may be implemented. Many modifications to the depicted environments may be made based on design and implementation requirements. 
       FIG. 3  is a block diagram  300  of internal and external components of the client computing device  102  and the server  112  depicted in  FIG. 1  in accordance with an embodiment of the present invention. It should be appreciated that  FIG. 3  provides only an illustration of one implementation and does not imply any limitations with regard to the environments in which different embodiments may be implemented. Many modifications to the depicted environments may be made based on design and implementation requirements. 
     The data processing system  302 ,  304  is representative of any electronic device capable of executing machine-readable program instructions. The data processing system  302 ,  304  may be representative of a smart phone, a computer system, PDA, or other electronic devices. Examples of computing systems, environments, and/or configurations that may represented by the data processing system  302 ,  304  include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, network PCs, minicomputer systems, and distributed cloud computing environments that include any of the above systems or devices. 
     The client computing device  102  and the server  112  may include respective sets of internal components  302   a,b  and external components  304   a,b  illustrated in  FIG. 3 . Each of the sets of internal components  302  include one or more processors  320 , one or more computer-readable RAMs  322 , and one or more computer-readable ROMs  324  on one or more buses  326 , and one or more operating systems  328  and one or more computer-readable tangible storage devices  330 . The one or more operating systems  328 , the software program  108  and the sensitive content masking program  110 A in the client computing device  102  and the sensitive content masking program  110 B in the server  112  are stored on one or more of the respective computer-readable tangible storage devices  330  for execution by one or more of the respective processors  320  via one or more of the respective RAMs  322  (which typically include cache memory). In the embodiment illustrated in  FIG. 3 , each of the computer-readable tangible storage devices  330  is a magnetic disk storage device of an internal hard drive. Alternatively, each of the computer-readable tangible storage devices  330  is a semiconductor storage device such as ROM  324 , EPROM, flash memory or any other computer-readable tangible storage device that can store a computer program and digital information. 
     Each set of internal components  302   a,b  also includes a R/W drive or interface  332  to read from and write to one or more portable computer-readable tangible storage devices  338  such as a CD-ROM, DVD, memory stick, magnetic tape, magnetic disk, optical disk or semiconductor storage device. A software program, such as the sensitive content masking program  110 A,  110 B, can be stored on one or more of the respective portable computer-readable tangible storage devices  338 , read via the respective R/W drive or interface  332 , and loaded into the respective hard drive  330 . 
     Each set of internal components  302   a,b  also includes network adapters or interfaces  336  such as a TCP/IP adapter cards, wireless Wi-Fi interface cards, or 3G or 4G wireless interface cards or other wired or wireless communication links. The software program  108  and the sensitive content masking program  110 A in the client computing device  102  and the sensitive content masking program  110 B in the server  112  can be downloaded to the client computing device  102  and the server  112  from an external computer via a network (for example, the Internet, a local area network or other, wide area network) and respective network adapters or interfaces  336 . From the network adapters or interfaces  336 , the software program  108  and the sensitive content masking program  110 A in the client computing device  102  and the sensitive content masking program  110 B in the server  112  are loaded into the respective hard drive  330 . The network may comprise copper wires, optical fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. 
     Each of the sets of external components  304   a,b  can include a computer display monitor  344 , a keyboard  342 , and a computer mouse  334 . External components  304   a,b  can also include touch screens, virtual keyboards, touch pads, pointing devices, and other human interface devices. Each of the sets of internal components  302   a,b  also includes device drivers  340  to interface to computer display monitor  344 , keyboard  342 , and computer mouse  334 . The device drivers  340 , R/W drive or interface  332 , and network adapter or interface  336  comprise hardware and software (stored in storage device  330  and/or ROM  324 ). 
     It is understood in advance that although this disclosure includes a detailed description on cloud computing, implementation of the teachings recited herein are not limited to a cloud computing environment. Rather, embodiments of the present invention are capable of being implemented in conjunction with any other type of computing environment now known or later developed. 
     Cloud computing is a model of service delivery for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g. networks, network bandwidth, servers, processing, memory, storage, applications, virtual machines, and services) that can be rapidly provisioned and released with minimal management effort or interaction with a provider of the service. This cloud model may include at least five characteristics, at least three service models, and at least four deployment models. 
     Characteristics are as follows: 
     On-demand self-service: a cloud consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with the service&#39;s provider. 
     Broad network access: capabilities are available over a network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). 
     Resource pooling: the provider&#39;s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to demand. There is a sense of location independence in that the consumer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). 
     Rapid elasticity: capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. 
     Measured service: cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. 
     Service Models are as follows: 
     Software as a Service (SaaS): the capability provided to the consumer is to use the provider&#39;s applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings. 
     Platform as a Service (PaaS): the capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including networks, servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations. 
     Infrastructure as a Service (IaaS): the capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls). 
     Deployment Models are as follows: 
     Private cloud: the cloud infrastructure is operated solely for an organization. It may be managed by the organization or a third party and may exist on-premises or off-premises. 
     Community cloud: the cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be managed by the organizations or a third party and may exist on-premises or off-premises. 
     Public cloud: the cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services. 
     Hybrid cloud: the cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds). 
     A cloud computing environment is service oriented with a focus on statelessness, low coupling, modularity, and semantic interoperability. At the heart of cloud computing is an infrastructure comprising a network of interconnected nodes. 
     Referring now to  FIG. 4 , illustrative cloud computing environment  40  is depicted. As shown, cloud computing environment  40  comprises one or more cloud computing nodes  100  with which local computing devices used by cloud consumers, such as, for example, personal digital assistant (PDA) or cellular telephone  44 A, desktop computer  44 B, laptop computer  44 C, and/or automobile computer system  44 N may communicate. Nodes  100  may communicate with one another. They may be grouped (not shown) physically or virtually, in one or more networks, such as Private, Community, Public, or Hybrid clouds as described hereinabove, or a combination thereof. This allows cloud computing environment  40  to offer infrastructure, platforms and/or software as services for which a cloud consumer does not need to maintain resources on a local computing device. It is understood that the types of computing devices  44 A-N shown in  FIG. 4  are intended to be illustrative only and that computing nodes  100  and cloud computing environment  40  can communicate with any type of computerized device over any type of network and/or network addressable connection (e.g., using a web browser). 
     Referring now to  FIG. 5 , a set of functional abstraction layers  500  provided by cloud computing environment  40  is shown. It should be understood in advance that the components, layers, and functions shown in  FIG. 5  are intended to be illustrative only and embodiments of the invention are not limited thereto. As depicted, the following layers and corresponding functions are provided: 
     Hardware and software layer  60  includes hardware and software components. Examples of hardware components include: mainframes  61 ; RISC (Reduced Instruction Set Computer) architecture based servers  62 ; servers  63 ; blade servers  64 ; storage devices  65 ; and networks and networking components  66 . In some embodiments, software components include network application server software  67  and database software  68 . 
     Virtualization layer  70  provides an abstraction layer from which the following examples of virtual entities may be provided: virtual servers  71 ; virtual storage  72 ; virtual networks  73 , including virtual private networks; virtual applications and operating systems  74 ; and virtual clients  75 . 
     In one example, management layer  80  may provide the functions described below. Resource provisioning  81  provides dynamic procurement of computing resources and other resources that are utilized to perform tasks within the cloud computing environment. Metering and Pricing  82  provide cost tracking as resources are utilized within the cloud computing environment, and billing or invoicing for consumption of these resources. In one example, these resources may comprise application software licenses. Security provides identity verification for cloud consumers and tasks, as well as protection for data and other resources. User portal  83  provides access to the cloud computing environment for consumers and system administrators. Service level management  84  provides cloud computing resource allocation and management such that required service levels are met. Service Level Agreement (SLA) planning and fulfillment  85  provide pre-arrangement for, and procurement of, cloud computing resources for which a future requirement is anticipated in accordance with an SLA. 
     Workloads layer  90  provides examples of functionality for which the cloud computing environment may be utilized. Examples of workloads and functions which may be provided from this layer include: mapping and navigation  91 ; software development and lifecycle management  92 ; virtual classroom education delivery  93 ; data analytics processing  94 ; transaction processing  95 ; and recursively adapting a sensitive content masking technique for different users  96 . Recursively adapting a sensitive content masking technique for different users  96  may relate to broadly masking sensitive information in an original document in order to deliver a masked version of that document to a user based on the permissions of that user. 
     The descriptions of the various embodiments of the present invention have been presented for purposes of illustration, but are not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application or technical improvement over technologies found in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.