CN113378222A - File encryption method and system based on data content identification - Google Patents
File encryption method and system based on data content identification Download PDFInfo
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Abstract
The invention provides a file encryption method and system based on data content identification. Wherein the method comprises: the external file is imported to obtain an imported file; identifying and analyzing the content of the imported file, judging whether the file has relevant sensitive information, and confirming the frequency and the position of the sensitive information; classifying and grading the files according to the sensitive information and the frequency and the position of the sensitive information; carrying out file encryption according to the classification and grading result of the files to obtain encryption information; storing the file information of the imported file and the confidential information into a database; and returning a standard secret result and displaying the standard secret result in the man-machine interaction layer.
Description
Technical Field
The invention relates to the technical field of intelligent document encryption, in particular to a file encryption method and system based on data content identification.
Background
With the popularization of networks, network communication has been integrated into the aspects of modern social production and life, and the security problem of communication information is gradually paid attention to people. The sender realizes file transmission through the network and simultaneously enables the successfully sent file to be separated from the control of the sender, and the sender is difficult to limit the use and the propagation of the sent file, so that the sender is in danger of misusing or maliciously propagating the sent file. In order to solve the above problems, in the prior art, by means of adding a hidden tag to a file or changing file attributes, etc., it is ensured that the tag is not lost during transmission and copying, and traceable to the file in the above scenario is realized. And the label information is closely related to the file confidential range and level. The patent is a further improvement and supplement to some known defect problems in the marking process on the basis of the existing marking technology.
As shown in fig. 6, the prior art currently includes:
1. the file encryption system consists of a database module, an encryption module and an association module;
2. the database module stores the information of all files marked with the encryption, such as package file metadata, encryption information and the like;
3. the encryption module realizes an encryption process and a process of identifying an encryption file;
4. the association module is a main interaction layer and is responsible for transmitting the information of the standard secret to the standard secret module.
Publication number CN104657677A discloses a file encryption method based on exchange data stream, which writes file data to be encrypted onto NTFS volume through exchange data stream, thereby implementing file encryption, including an extended data stream created for the file; setting file security level identification information including a security marker and a security level, and automatically acquiring security marking time; inputting a password marking identification password as a verification password; and calling the file I/O, and writing the set file security level identification information into the file extended data stream to finish the encryption marking.
The prior art has the following defects:
1. artificially marking the secret: the artificial subjective judgment is used for carrying out encryption marking, and uncertainty exists;
2. and (3) metadata encryption: and structured data is supported, and the requirements of unstructured data cannot be met.
Disclosure of Invention
The invention aims to provide a file encryption method and system based on data content identification, and aims to solve the technical problems in the prior art.
The invention provides a file encryption method based on data content identification in a first aspect, which comprises the following steps:
s1: the external file is imported to obtain an imported file;
s2: identifying and analyzing the content of the imported file, judging whether the file has relevant sensitive information, and confirming the frequency and the position of the sensitive information;
s3: classifying and grading the files according to the sensitive information and the frequency and the position of the sensitive information;
s4: carrying out file encryption according to the classification and grading result of the files to obtain encryption information;
s5: storing the file information of the imported file and the confidential information into a database;
s6: and returning a standard secret result and displaying the standard secret result in the man-machine interaction layer.
Preferably, the specific method for identifying and analyzing the content of the imported file and determining whether the file has the relevant sensitive information includes: format conversion, content extraction and content identification;
the format conversion is mainly to identify, analyze and convert the format type of the imported file to obtain a format conversion file;
the content extraction is to extract file content from the format conversion file to obtain file extraction content;
and the content identification is to extract preset information of the extracted content of the file and judge whether the file has related sensitive information.
Preferably, the specific method for extracting the preset information of the file extraction content is as follows:
and performing preset information extraction on the extracted content of the file by utilizing keyword identification, regular expression judgment, data identifier identification and file fingerprint identification.
Preferably, the specific method for confirming the frequency of the occurrence of the sensitive information is as follows:
and carrying out clustering analysis on the relevant sensitive information existing in the file by utilizing a machine learning technology to obtain the occurrence frequency of the sensitive information.
Preferably, the specific method for confirming the position where the sensitive information appears is as follows:
and carrying out clustering analysis on the relevant sensitive information in the file by utilizing a machine learning technology to obtain the position of the sensitive information.
Preferably, before performing classification and classification of the file, the method further comprises:
semantic analysis is carried out on the extracted content of the file by utilizing a machine learning technology, and hard judgment of a single keyword or a regular expression is avoided.
Preferably, the specific method for classifying and grading the files comprises the following steps:
and confirming the classified level and the service classification of the imported file according to the frequency of the sensitive information, the position in the file and the meaning of the specific semantics.
The second aspect of the present invention provides a file encryption system based on data content identification, where the system is mounted on an operating system, and specifically includes:
the system comprises a man-machine interaction module, a content identification module, a security marking module, a data leakage and protection auxiliary decision module and a database module;
the man-machine interaction module is an external presentation part of the system and is used for file import and confidential information query and setting;
the content identification module identifies and analyzes the content of the imported file and judges whether the file has relevant sensitive information or not;
the functions of the NLP aided decision module include: confirming the frequency and the position of the sensitive information, and classifying and grading the files according to the sensitive information and the frequency and the position of the sensitive information;
the encryption module completes specific file encryption operation to obtain encryption information;
the database module stores the confidential information, the file information, and the content identification dependent element data information.
Preferably, the NLP decision-making assisting module further includes: semantic analysis is carried out on the extracted content of the file by utilizing a machine learning technology, and hard judgment of a single keyword or a regular expression is avoided.
Preferably, the specific process of querying the confidential information is as follows:
(1) importing the file into a standard secret system;
(2) the background system extracts the label information in the imported file, and performs database query to obtain the file related file information and the confidential information;
(3) returning a query result;
(4) and displaying the confidential information of the file in the foreground interface.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
(1) the method is realized in a pure soft mode, the encryption function can be realized only by depending on PC end application, and the file tracing can be carried out by combining a big data analysis system;
(2) artificial intelligence is achieved, accuracy of data content identification is improved based on an NLP technology, and data classification and grading are used for assisting decision-making and encryption marking results.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description in the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for identifying files based on data content according to the present invention;
FIG. 2 is a block diagram of a file encryption system based on data content identification as employed in the present invention;
FIG. 3 is a block diagram of the structure of a content recognition module and an NLP decision-making aid module used in the present invention;
FIG. 4 is a flowchart of a query of the cryptographic information employed in the present invention;
FIG. 5 is a flow chart of an embodiment of the present invention;
fig. 6 is a block diagram of a prior art architecture.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
as shown in fig. 1, a first aspect of the present application provides a file encryption method based on data content identification, where the method includes:
s1: the external file is imported to obtain an imported file;
s2: the method comprises the following steps of identifying and analyzing the content of an imported file, and judging whether relevant sensitive information exists in the file, and comprises the following specific steps: format conversion, content extraction and content identification;
the format conversion is mainly to identify, analyze and convert the format type of the imported file to obtain a format conversion file;
the content extraction is to extract file content from the format conversion file to obtain file extraction content;
performing content identification, namely performing preset information extraction on file extraction content by utilizing keyword identification, regular expression judgment, data identifier identification and file fingerprint identification, and judging whether relevant sensitive information exists in the file or not;
confirming the frequency and the position of the occurrence of the sensitive information, wherein the specific method comprises the following steps:
performing clustering analysis on relevant sensitive information existing in a file by using a machine learning technology to obtain the occurrence frequency of the sensitive information;
performing clustering analysis on relevant sensitive information existing in a file by using a machine learning technology to obtain the position of the sensitive information;
semantic analysis is carried out on the extracted content of the file by utilizing a machine learning technology, and hard judgment of a single keyword or a regular expression is avoided;
s3: and then classifying and grading the files according to the sensitive information and the frequency, the position and the semantic analysis of the occurrence of the sensitive information, wherein the specific method comprises the following steps:
confirming the classified level and the service classification of the imported file according to the frequency of the sensitive information, the position in the file and the meaning of the specific semantics;
s4: carrying out file encryption according to the classification and grading result of the files to obtain encryption information;
s5: storing the file information of the imported file and the confidential information into a database;
s6: and returning a standard secret result and displaying the standard secret result in the man-machine interaction layer.
As shown in fig. 2, a second aspect of the present invention provides a file encryption system based on data content identification, where the system is installed on an operating system, and specifically includes:
the system comprises a man-machine interaction module, a content identification module, a security marking module, a data leakage and protection auxiliary decision module and a database module;
the man-machine interaction module is an external presentation part of the system, and performs file import and confidential information query and setting, as shown in fig. 4, the specific process of the confidential information query is as follows:
(1) importing the file into a standard secret system;
(2) the background system extracts the label information in the imported file, and performs database query to obtain the file related file information and the confidential information;
(3) returning a query result;
(4) displaying the confidential information of the file in a foreground interface;
as shown in fig. 3, the content identification module identifies and analyzes the content of the imported file, and determines whether the file has relevant sensitive information;
the specific method comprises the following steps: format conversion, content extraction and content identification;
the format conversion is mainly to identify, analyze and convert the format type of the imported file to obtain a format conversion file;
the content extraction is to extract file content from the format conversion file to obtain file extraction content;
performing content identification, namely performing preset information extraction on file extraction content by utilizing keyword identification, regular expression judgment, data identifier identification and file fingerprint identification, and judging whether relevant sensitive information exists in the file or not;
as shown in fig. 3, the functions of the NLP aided decision module include: confirming the frequency and the position of the occurrence of the sensitive information, wherein the specific method comprises the following steps:
performing clustering analysis on relevant sensitive information existing in a file by using a machine learning technology to obtain the occurrence frequency of the sensitive information;
performing clustering analysis on relevant sensitive information existing in a file by using a machine learning technology to obtain the position of the sensitive information;
semantic analysis is carried out on the extracted content of the file by utilizing a machine learning technology, and hard judgment of a single keyword or a regular expression is avoided;
and then classifying and grading the files according to the sensitive information and the frequency, the position and the semantic analysis of the occurrence of the sensitive information, wherein the specific method comprises the following steps:
confirming the classified level and the service classification of the imported file according to the frequency of the sensitive information, the position in the file and the meaning of the specific semantics;
the encryption module completes specific file encryption operation to obtain encryption information;
the database module stores the confidential information, the file information, and the content identification dependent element data information.
Example 2:
as shown in fig. 5, a second aspect of the present application provides a file encryption method and system based on data content identification:
(1) the confidential client company establishes a set of mail system, and needs to purchase a file marking and confidential system to further perfect the tracing of the file sent out by the mail;
(2) the construction scheme consists of three subsystems, namely a mail interception system, a file encryption system and a file tracing system;
(3) the mail interception system is responsible for intercepting the outgoing behavior of the company mail and extracting the attachment files in the outgoing mail;
(4) the file encryption system completes the sensitive information discovery and encryption of the outgoing attachment file;
(5) the marking process and the marking information are reported to a tracing system for subsequent file tracking;
(6) after the encryption is finished, the mail is normally sent;
(7) the receiver sends the encrypted file for the second time, and the mail interception system intercepts the outgoing mail;
(8) the file encryption system reads encryption information in the mail attachment file;
(9) reporting the confidential information and the sending process to a tracing system for file tracking;
(10) the mail is returned to normal and sent to the receiver;
(11) the file tracing system stores the label information and the file circulation information of all files subjected to encryption, and the tracing system can clearly know the circulation process of the files subjected to encryption.
Claims (10)
1. A file encryption method based on data content identification is characterized by comprising the following steps:
s1: the external file is imported to obtain an imported file;
s2: identifying and analyzing the content of the imported file, judging whether the file has relevant sensitive information, and confirming the frequency and the position of the sensitive information;
s3: classifying and grading the files according to the sensitive information and the frequency and the position of the sensitive information;
s4: carrying out file encryption according to the classification and grading result of the files to obtain encryption information;
s5: storing the file information of the imported file and the confidential information into a database;
s6: and returning a standard secret result and displaying the standard secret result in the man-machine interaction layer.
2. The file encryption method based on data content identification according to claim 1, wherein the specific method for identifying and analyzing the content of the imported file and judging whether the file has the relevant sensitive information is as follows: format conversion, content extraction and content identification;
the format conversion is mainly to identify, analyze and convert the format type of the imported file to obtain a format conversion file;
the content extraction is to extract file content from the format conversion file to obtain file extraction content;
and the content identification is to extract preset information of the extracted content of the file and judge whether the file has related sensitive information.
3. The file encryption method based on data content identification as claimed in claim 2, wherein the specific method for extracting the preset information from the file extraction content is as follows:
and performing preset information extraction on the extracted content of the file by utilizing keyword identification, regular expression judgment, data identifier identification and file fingerprint identification.
4. The method for encrypting the file based on the data content identification as claimed in claim 3, wherein the specific method for confirming the occurrence frequency of the sensitive information is as follows:
and carrying out clustering analysis on the relevant sensitive information existing in the file by utilizing a machine learning technology to obtain the occurrence frequency of the sensitive information.
5. The method for encrypting the file based on the data content identification as claimed in claim 4, wherein the specific method for confirming the position where the sensitive information appears is as follows:
and carrying out clustering analysis on the relevant sensitive information in the file by utilizing a machine learning technology to obtain the position of the sensitive information.
6. The method of claim 5, wherein the method further comprises, before performing classification and ranking of the files:
semantic analysis is carried out on the extracted content of the file by utilizing a machine learning technology, and hard judgment of a single keyword or a regular expression is avoided.
7. The method for encrypting the file based on the data content identification as claimed in claim 6, wherein the specific method for classifying and grading the file is as follows:
and confirming the classified level and the service classification of the imported file according to the frequency of the sensitive information, the position in the file and the meaning of the specific semantics.
8. A file encryption system based on data content identification is characterized in that the system is mounted on an operating system and specifically comprises:
the system comprises a man-machine interaction module, a content identification module, a security marking module, a data leakage and protection auxiliary decision module and a database module;
the man-machine interaction module is an external presentation part of the system and is used for file import and confidential information query and setting;
the content identification module identifies and analyzes the content of the imported file and judges whether the file has relevant sensitive information or not;
the functions of the NLP aided decision module include: confirming the frequency and the position of the sensitive information, and classifying and grading the files according to the sensitive information and the frequency and the position of the sensitive information;
the encryption module completes specific file encryption operation to obtain encryption information;
the database module stores the confidential information, the file information, and the content identification dependent element data information.
9. The file encryption system based on data content recognition according to claim 8, wherein the NLP aid decision module further comprises: semantic analysis is carried out on the extracted content of the file by utilizing a machine learning technology, and hard judgment of a single keyword or a regular expression is avoided.
10. The file encryption system based on data content identification as claimed in claim 8, wherein the specific process of the encryption information query is:
(1) importing the file into a standard secret system;
(2) the background system extracts the label information in the imported file, and performs database query to obtain the file related file information and the confidential information;
(3) returning a query result;
(4) and displaying the confidential information of the file in the foreground interface.
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Cited By (1)
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| CN116756092A (en) * | 2023-08-23 | 2023-09-15 | 深圳红途科技有限公司 | System download file marking method, device, computer equipment and storage medium |
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