KR101078680B1 - Private information serch system using structured type pattern recognition notation and method of operating the system - Google Patents

Abstract

The personal information retrieval system using the structured pattern recognition technique according to an embodiment of the present invention is a graphic setting for setting any one or more of a search target system information, a search item, a search range, and a search command and outputting a personal information search result. A user interface unit (GUI: Graphic User Interface); After learning the structural pattern for the search item, extracting the search target file through the analysis of the search target system and converting the search target file into a searchable structure, and based on the learned structural pattern pattern recognition for the search target file A search control unit configured to control a personal information search for the search target file; And a database unit storing one or more of the search target system information, the pattern information for each search item corresponding to the structured pattern learning, and the personal information search result information.

Personal information, exposure, leakage, search, structured pattern recognition, structured pattern learning

Description

Personal information retrieval system and method using structured pattern recognition technique {PRIVATE INFORMATION SERCH SYSTEM USING STRUCTURED TYPE PATTERN RECOGNITION NOTATION AND METHOD OF OPERATING THE SYSTEM}

The present invention relates to a system and method for retrieving personal information using a structured pattern recognition technique. More particularly, the present invention relates to a personal information retrieval system and a method. The present invention relates to a personal information retrieval system and method using a structured pattern recognition technique that enables a rapid retrieval of an unspecified number of personal information through retrieval and ultimately responds to personal information leakage and exposure issues.

Due to the rapid development of information and communication technology and the expansion of communication infrastructure, personal information is exposed to websites, web servers, etc., or personal information is contained on personal computers and is leaked to the outside, especially the risk of theft of personal information. As the number of users increases, personal information leakage and exposure prevention techniques to prevent such risks play an important role.

In particular, the technology to prevent the leakage and exposure of personal information has a challenge to quickly check a large number of various unspecified personal information included in the system while using the system and services normally. Conventionally, a rule-based pattern matching technique for searching whether a specific personal information is included, rather than an unspecified personal information, or a looping base that uses various keywords recursively for a search target file to search for an unspecified personal information. The pattern matching technique of is mainly applied.

However, in the case of rule-based pattern matching techniques, only the personal information of a specific person is checked, and there is a problem in that an unspecified number of personal information cannot be searched. Searching by keyword is performed separately, so the search speed is slow, and the service availability is reduced by increasing the load on the system where the search target file is stored.

In addition, recently, systems such as personal computers, servers, web servers, databases, etc. have secured security by always operating various processes for various purposes such as virus response, hacking prevention, etc. In addition, there is an operational feature that maximizes the availability of the service by minimizing the process load. Therefore, in order to maximize the availability while quickly searching for a large number of unspecified various personal information, the target file is repeatedly searched as needed. There is a disadvantage.

The present invention has been made to improve the prior art as described above, after structuring the pattern of the various search targets in advance, and then search the file to be searched, compared with the structured pattern while searching a file of a plurality of unspecified personal information It is an object of the present invention to provide a system and method for retrieving personal information using a structured pattern recognition technique that enables rapid retrieval and ultimately responding to personal information leakage and exposure problems.

In order to achieve the above object and solve the problems of the prior art, the personal information retrieval system using a structured pattern recognition technique according to an embodiment of the present invention, any of the search target system information, search items, search range, and search command A graphic user interface (GUI) for setting one or more and outputting a personal information search result; After learning the structural pattern for the search item, extracting the search target file through the analysis of the search target system and converting the search target file into a searchable structure, and based on the learned structural pattern pattern recognition for the search target file A search control unit configured to control a personal information search for the search target file; And a database unit storing one or more of the search target system information, the pattern information for each search item corresponding to the structured pattern learning, and the personal information search result information.

In addition, the personal information retrieval method of the personal information retrieval system using the structured pattern recognition technique according to an embodiment of the present invention, by registering the information about the search target system to search for personal information at least one of the search target system A search target registration step of storing information in a search target database; In the case of detecting a search command, a search target file extraction step of analyzing a search target system stored in the search target database based on the search command to collect a search target file and storing the search target file in the search target database. ; Analyze the characteristics of the search target file into a searchable structure, recognize the personal information from the search target file through the learned structural pattern, and personalize the combination of the structure pattern recognition result and the search target file recognition result. A personal information recognition step of determining whether information is included; And a personal information search result outputting step of outputting the personal information search result.

According to the personal information retrieval system and method using the structured pattern recognition technique of the present invention, after various patterns of search targets are structured in advance, a search for a file to be searched compares the structured patterns with a single file search in a single file search. By conducting personal information retrieval quickly, ultimately, it is possible to respond quickly to personal information leakage and disclosure issues.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing the configuration of a personal information retrieval system using a structured pattern recognition technique according to an embodiment of the present invention.

The personal information retrieval system according to an embodiment of the present invention includes a Graphic User Interface (GUI), a search control unit, and a database unit. The graphical user interface unit includes a target setting graphic user interface 111, an output graphic user interface 112, a policy setting graphic user interface 113, and a search setting graphic user interface 114.

The personal information retrieval system according to an embodiment of the present invention may provide a search service for files stored in the local terminal of the user terminal or stored in the external terminal of a wired / wireless network environment.

A graphical user interface (GUI) sets one or more of a search target system information, a search item, a search range, and a search command, and outputs a personal information search result. That is, the target setting graphic user interface 111 sets the search target system in response to a user input. Also, the policy setting graphic user interface 113 sets the search item and the search range in response to the user input. In addition, the search setting graphic user interface 114 sets a search of personal information in response to the user input. In addition, the output graphical user interface 112 outputs the personal information search result information in one or more formats of web, file, database, email, SMS, and MMS.

The search control unit includes a management unit 131, a structured pattern learning unit 132, a system search unit 133, a search target file extracting unit 134, a file analysis and conversion unit 135, a structured pattern recognition unit 136, And a personal information determining unit 137.

The management unit 131 is a structured pattern learning unit 132, a system search unit 133, a search target file extraction unit 134, a file analysis and conversion unit 135 in response to a command received from a user through the graphical user interface unit. ), The structured pattern recognition unit 136, and the personal information determination unit 137 controls the operation of any one or more.

The structured pattern learner 132 learns a structured pattern for a personal information search item set from a policy. The system search unit 133 tracks, searches and stores the substructure of the search target system. The search target file extractor 134 extracts the detailed search target file extracted by the system search unit 133.

The file analysis and conversion unit 135 analyzes the characteristics of the searched file and converts the searched file into a searchable structure. The structured pattern recognition unit 136 recognizes personal information from the personal information search target file through the learned structured pattern. The personal information determining unit 137 determines whether personal information is included through a combination of the structural pattern recognition result and the search target file recognition result.

That is, the search control unit searches through the pattern information to check the minimum information size to the maximum size that can be displayed by sorting the size of the primary keyword information for each search item that can be determined as personal information. Parsing the files sequentially, recognizing whether the information is personal information sequentially by mobile parsing method for the size of each information, and finally comparing the selected personal information rules and policies with respect to the recognized result. The recognition can be determined.

The database unit stores one or more of the search target system information, pattern information for each search item corresponding to the structured pattern learning, and personal information search result information. That is, the database unit may include a search target database 121 storing related information about a search target system to be searched, a learning database 122 storing pattern information for each item of personal information used for structured learning, and the searched result and It includes a search result database 123 in which information about the history is stored.

When describing a personal information search method through the configuration of the personal information search system according to an embodiment of the present invention, first, if the target system to search for personal information is registered through the target setting graphical user interface 111, the management unit The data is stored in the search target database 121 through 131.

After setting the personal information items and the range of the search target through the policy setting graphic user interface 113 and executing the personal information search command through the search setting graphic user interface 114, the personal information items to be searched are set. After learning the structured pattern for the stored in the learning database 122.

Then, while analyzing the substructure of the search target system 101, the search target files are continuously extracted, and each extracted file is analyzed and converted to be searchable, and then pattern recognition is performed based on the learned structural patterns. . The result of the pattern recognition is finally determined whether the personal information according to the policy, the result is stored in the search results database 123.

On the other hand, when outputting, if a command is executed on the output graphic user interface 112, the output unit 140 receives the information to be output from the corresponding database and converts it into a format to be output based on the output information.

The search control unit deletes a search target file in which the personal information search result information is stored according to a delete command of the user. That is, when the search controller detects a delete command, the search controller deletes a search target file in which the personal information search result is stored based on the delete command. The delete command is input from the user through the graphic user interface unit.

The search control unit encrypts and stores a search target file in which the personal information search result information is stored in a corresponding directory area according to a user's storage command. That is, when detecting a storage command, the search controller encrypts and stores a search target file in which the personal information search result is stored in a corresponding directory area based on the storage command. The storage command is input from the user through the graphic user interface unit.

2 is a flow chart showing the flow of a personal information retrieval method using a structured pattern recognition technique according to an embodiment of the present invention.

The personal information search system according to an embodiment of the present invention registers a search target for searching for personal information (step 211), extracts a file of the search target (step 212), and the search target file. Personal information is recognized from (step 213), and a search result of recognizing the personal information is output (step 214). Step 211 is shown in detail in FIG. 3 illustrating the flow of a search target registration method among personal information retrieval methods using the structured pattern recognition technique according to an embodiment of the present invention.

In addition, step 212 is shown in detail in Figure 4 showing the flow of the search target file extraction method of the personal information retrieval method using a structured pattern recognition method according to an embodiment of the present invention, step 213 is 5 is a detailed view of the personal information recognizing method of the personal information retrieval method using the structured pattern recognition technique according to an embodiment of the present invention.

In operation 211, the search target registration may store the search target system information and related information input from the target setting GUI and the policy and search setting related information input from the policy setting GUI and the search setting GUI in the search target database. That is, as shown in FIG. 3, the personal information search system registers the search target information (step 311), stores the search target information (step 312), inputs policy setting information (step (313), the search setting information is input (step 314), and the input information can be stored (step 315).

In steps 212 and 213, the personal information recognition is performed by analyzing the search target file received from the search target file extraction module so that it can be analyzed, and simultaneously performing the structural pattern learning on the search item in the structure pattern learning module. Based on the two results, structural pattern recognition can be performed. In particular, the structured pattern learning module stores pattern information that can be checked from the minimum information size to the maximum size that can be displayed by sorting the size of the primary keyword information for each item that can be judged as personal information in the learning database. By sequentially parsing the file to be checked, it recognizes the personal information sequentially by the portable parsing method for the size of each information, and finally compares the recognized result with personal information rules and policies. Can be determined and stored in the search results database.

That is, as shown in FIG. 4, when the search target is input (step 411), the personal information search system analyzes the search target (step 412), and searches the search target system (step ( 413), extract a search target file from the search target system (step 414), and the personal information search system stores the search target file in a database (step 415).

In addition, as shown in FIG. 5, the personal information retrieval system downloads a search target file from the database (step 511) and converts the search target file analysis into a searchable structure (step 512). . The personal information retrieval system performs structural pattern learning (step 513) to recognize the structural pattern (step 514). The personal information search system searches for personal information according to the structured pattern recognition result (step 515), and if the personal information is searched, stores the result in a database (step 516), and does not search for personal information. If not, the search may be terminated according to a user's selection (step 517) or the process may be returned to step 514 to re-execute the structured pattern recognition operation.

In operation 214, when the personal information search result output is executed by a command to the output GUI, the output module may receive the information to be output from the corresponding database, convert the information into a format to be output, and provide the output information.

The personal information retrieval method using the structured pattern recognition technique according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. The medium may be a transmission medium such as an optical or metal line, a wave guide, or the like, including a carrier wave for transmitting a signal designating a program command, a data structure, or the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above-described embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Modifications are possible. Accordingly, the spirit of the present invention should be understood only by the claims set forth below, and all equivalent or equivalent modifications thereof will belong to the scope of the present invention.

1 is a block diagram showing the configuration of a personal information retrieval system using a structured pattern recognition technique according to an embodiment of the present invention.

Figure 2 is a flow chart showing the flow of a personal information retrieval method using a structured pattern recognition technique according to an embodiment of the present invention.

Figure 3 is a flow chart showing the flow of the search target registration method of the personal information retrieval method using a structured pattern recognition technique according to an embodiment of the present invention.

Figure 4 is a flow chart showing the flow of the search target file extraction method of the personal information retrieval method using a structured pattern recognition method according to an embodiment of the present invention.

5 is a flowchart illustrating a flow of a method of recognizing personal information in a method of retrieving personal information using a structured pattern recognition method according to an embodiment of the present invention.

<Explanation of symbols for the main parts of the drawings>

101: target system 111: target setting GUI

112: output GUI 113: policy setting GUI

114: search setup GUI 121: search target DB

122: learning DB 123: search results DB

131: management unit 132: structured pattern learning unit

133: system search unit 134: search target file extraction unit

135: file analysis and conversion unit 136: structured pattern recognition unit

137: personal information determination unit 140: output unit

Claims (14)

A graphical user interface (GUI) for setting any one or more of a search target system information, a search item, a search range, and a search command and outputting a personal information search result; After learning the structural pattern for the search item, extracting the search target file through the analysis of the search target system and converting the search target file into a searchable structure, and based on the learned structural pattern pattern recognition for the search target file A search control unit configured to control a personal information search for the search target file; And Database unit for storing any one or more of the search target system information, the pattern information for each search item corresponding to the structured pattern learning, and the personal information search result information Including, The graphical user interface unit, A target graphical user interface for setting the search target system in response to a user input; A policy setting graphic user interface configured to set the search item and the search range in response to the user input; A search setting graphic user interface for setting a search of personal information in response to the user input; And An output graphical user interface for outputting the personal information search result information in one or more formats of web, file, database, email, SMS, and MMS Personal information retrieval system using a structured pattern recognition technique comprising a. delete The method of claim 1, The search control unit, A structured pattern learning unit learning a structured pattern for a personal information search item set from a policy; A system searcher that tracks, searches, and stores sub-structures of the search target system; A search target file extracting unit which extracts a detailed search target file extracted through the system search unit; A file analysis and conversion unit for analyzing the characteristics of the searched file and converting the searched file into a searchable structure; A structured pattern recognition unit recognizing personal information from the personal information search target file through the learned structured pattern; A personal information determination unit determining whether personal information is included through a combination of the structural pattern recognition result and the search target file recognition result; And The structured pattern learning unit, the system search unit, the search target file extractor, the file analysis and conversion unit, the structured pattern recognition unit, and the personal information determination unit in response to a command received from a user through the graphic user interface unit. Management unit for controlling the operation of any one or more of the units Personal information retrieval system using a structured pattern recognition technique comprising a. The method of claim 1, The search control unit sorts the size of the primary keyword information for each search item that can be judged as personal information to the search target file through pattern information to check the minimum information size to the maximum size that can appear. Parsing is performed sequentially, and the size of each information is sequentially recognized by the mobile parsing method, and whether the personal information is finally recognized compared to the selected personal information rules and policies for the recognized result. Personal information retrieval system using a structured pattern recognition technique, characterized in that for determining. The method of claim 1, The search control unit deletes a search target file in which the personal information search result information is stored or encrypts and stores the search target file in a corresponding directory area according to a user's command. The method of claim 1, The database unit, A search target database storing related information about a search target system to be searched; A learning database in which pattern information for each item of personal information used for structured learning is stored; And A search result database in which information about the searched result and history is stored Personal information retrieval system using a structured pattern recognition technique comprising a. The method of claim 1, The personal information retrieval system is constructed in a local environment of a user terminal or built on an external server of a wired / wireless network environment and provides a search service for files stored in the user terminal. Search system. A search target registration step of registering information on a search target system for searching for personal information and storing one or more information about the search target system in a search target database; In the case of detecting a search command, a search target file extraction step of analyzing a search target system stored in the search target database based on the search command to collect a search target file and storing the search target file in the search target database. ; Analyze the characteristics of the search target file into a searchable structure, recognize the personal information from the search target file through the learned structural pattern, and personalize the combination of the structure pattern recognition result and the search target file recognition result. A personal information recognition step of determining whether information is included; And Personal information search result output step of outputting the personal information search results Including, The search target registration step, A target setting step of setting the search target system in response to a user input; A policy setting step of setting a search item and a search range in response to the user input; And A search setting step of setting a search of personal information in response to the user input Personal information retrieval method of the personal information retrieval system using a structured pattern recognition technique comprising a. delete The method of claim 8, The search file extraction step, Tracking, searching for, and storing the substructure of the search target system; And Extracting the extracted detail search target file; Personal information retrieval method of the personal information retrieval system using a structured pattern recognition technique comprising a. The method of claim 8, The personal information recognition step, Learning a structured pattern for a personal information search item set from a policy; Analyzing the characteristics of the searched file and converting the searched file into a searchable structure; Recognizing personal information from the personal information search target file through the learned structural pattern; And Determining whether personal information is included through a combination of the structural pattern recognition result and the search target file recognition result; Personal information retrieval method of the personal information search system using a structured pattern recognition technique comprising a. The method of claim 8, The personal information recognition step, If detecting a user command, deleting the search target file storing the personal information search result based on the command, or storing the file to be encrypted in a corresponding directory area Personal information retrieval method of the personal information retrieval system using a structured pattern recognition technique comprising a. The method of claim 8, The personal information search result output step, Outputting the personal information search result information in at least one of web, file, database, email, SMS, and MMS formats; Personal information retrieval method of the personal information retrieval system using a structured pattern recognition technique comprising a. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1, 3, 8, and 10-13.

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