CN113742763A - Confusion encryption method and system based on government affair sensitive data - Google Patents
Confusion encryption method and system based on government affair sensitive data Download PDFInfo
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Abstract
The invention discloses a government affair sensitive data confusion encryption method and system, wherein the method comprises the following steps: acquiring government affair data, and determining a desensitized object according to the government affair data; analyzing the desensitized object to determine the type of the desensitized object; selecting an obfuscated encryption algorithm template corresponding to the type of the desensitized object from preset obfuscated encryption templates according to the type of the desensitized object; and carrying out desensitization encryption processing on the desensitization object by using a confusion encryption algorithm template to obtain a desensitization encrypted file. According to the invention, the desensitization object of the government affair data is encrypted by the confusion encryption algorithm, so that the original relevance and availability of the government affair data are maintained, and the appearance and the characteristics of the real data are similar, so that the government affair data cannot be influenced on the subsequent analysis and processing, and the real data cannot be leaked; and the confusion encryption algorithm is preset in the template, and the encryption is carried out by selecting the encryption template, so that the convenience and the encryption efficiency during encryption are greatly improved.
Description
Technical Field
The invention relates to the technical field of data encryption, in particular to a government affair sensitive data confusion encryption method and system.
Background
With the advent of the big data era, the government affair data volume is increasingly huge. In order to break the data 'island' and further analyze government affair data to develop social economy, more and more data open platforms are produced. During this process, a large amount of government data is used for the orchestration analysis. However, in the process of data opening, part of data relates to national, commercial and personal privacy secrets, so that the data needs to be processed in the process of transmission and use to achieve the effect of data non-leakage.
At present, when the existing data encryption is carried out, although the encryption effect can be achieved, the data can be changed in quality after encryption, so that the data is poor in readability, and further statistical analysis cannot be carried out. In order to preserve the original relevance and usability of the data after the data is processed, a method for carrying out confusion desensitization on government affair sensitive data through a special algorithm needs to be developed.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides a government affair sensitive data confusion encryption method and system.
The technical scheme of the invention is realized as follows:
according to one aspect of the invention, a method of obfuscating encryption based on government-sensitive data is provided.
The confusion encryption method based on the government affair sensitive data comprises the following steps:
acquiring government affair data, and determining a desensitized object according to the government affair data;
analyzing the desensitized object to determine the type of the desensitized object;
selecting an obfuscated encryption algorithm template corresponding to the type of the desensitized object from preset obfuscated encryption templates according to the type of the desensitized object;
and carrying out desensitization encryption processing on the desensitization object by using a confusion encryption algorithm template to obtain a desensitization encrypted file.
The mode of acquiring the government affair data comprises at least one of the following modes: the method comprises the steps that government affair data are obtained by butting a government affair system through a database; government affair data are obtained through data copying; and (4) butting a government affair system database through a data interface to obtain government affair data.
Additionally, determining desensitized objects based on the government data includes: when government affair data are acquired by butting a database with a government affair system, a preset script program is used for connecting the database and extracting field original data from a table, and a desensitization object is determined; when government affair data are obtained through data copying, the data information is analyzed through a poi algorithm, row and column data are obtained, and desensitization objects are determined; when government affair data are acquired by butting a government affair system database through a data interface, analyzing encrypted target data to be desensitized by using a json data exchange format, acquiring field data and determining a desensitized object.
In addition, the desensitized subject is analyzed and determining the type of the desensitized subject includes: analyzing the desensitized object by using regular expression matching to determine the type of the desensitized object; wherein the types of desensitized subjects include: digital data, alphabetic data, and text data.
In addition, the preset obfuscated encryption template includes: a random dictionary confusion replacement algorithm template, a cyclic norm confusion replacement algorithm template, a fuzzy interval confusion replacement algorithm template and a system confusion replacement algorithm template.
According to another aspect of the invention, a system for obfuscating encryption based on government-sensitive data is provided.
The confusion encryption system based on government affair sensitive data comprises:
the object determination module is used for acquiring government affair data and determining a desensitized object according to the government affair data;
the type determining module is used for analyzing the desensitized object and determining the type of the desensitized object;
the encryption template selection module is used for selecting an obfuscated encryption algorithm template corresponding to the type of the desensitized object from preset obfuscated encryption templates according to the type of the desensitized object;
and the confusion encryption module is used for carrying out desensitization encryption processing on the desensitization object by utilizing a confusion encryption algorithm template to obtain a desensitization encryption file.
Wherein the mode of acquiring the government affair data by the object determining module comprises at least one of the following modes: the method comprises the steps that government affair data are obtained by butting a government affair system through a database; government affair data are obtained through data copying; and (4) butting a government affair system database through a data interface to obtain government affair data.
In addition, when the object determining module determines a desensitized object according to the government affair data and acquires the government affair data by butting the database with a government affair system, a preset script program is used for connecting the database and extracting field original data from a table to determine the desensitized object; when government affair data are obtained through data copying, the data information is analyzed through a poi algorithm, row and column data are obtained, and desensitization objects are determined; when government affair data are acquired by butting a government affair system database through a data interface, analyzing encrypted target data to be desensitized by using a json data exchange format, acquiring field data and determining a desensitized object.
In addition, the type determining module analyzes the desensitized object, and when the type of the desensitized object is determined, the regular expression matching is used for analyzing the desensitized object to determine the type of the desensitized object; wherein the types of desensitized subjects include: digital data, alphabetic data, and text data.
In addition, the preset obfuscated encryption template includes: a random dictionary confusion replacement algorithm template, a cyclic norm confusion replacement algorithm template, a fuzzy interval confusion replacement algorithm template and a system confusion replacement algorithm template.
Has the advantages that: according to the invention, the desensitization object of the government affair data is encrypted by the confusion encryption algorithm, so that the original relevance and availability of the government affair data are maintained, and the appearance and the characteristics of the real data are similar, so that the government affair data cannot be influenced on the subsequent analysis and processing, and the real data cannot be leaked; and the confusion encryption algorithm is preset in the template, and the encryption is carried out by selecting the encryption template, so that the convenience and the encryption efficiency during encryption are greatly improved. And by selecting the corresponding confusion encryption algorithm according to different desensitization data types, the pertinence of the desensitization object during encryption is effectively improved, so that the encryption templates of the pair can be effectively selected according to the desensitization objects of different types during encryption, and the optimal adaptability during encryption is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for obfuscating encryption based on government-sensitive data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for obfuscating an encryption based on government-sensitive data according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
According to an embodiment of the invention, a method for obfuscating encryption based on government-sensitive data is provided.
As shown in fig. 1, the encryption method based on government affair sensitive data confusion according to the embodiment of the invention comprises:
step S101, acquiring government affair data, and determining a desensitized object according to the government affair data;
step S103, analyzing the desensitized object and determining the type of the desensitized object;
step S105, selecting a confusion encryption algorithm template corresponding to the type of the desensitized object from preset confusion encryption templates according to the type of the desensitized object;
and S107, carrying out desensitization encryption processing on the desensitization object by using a confusion encryption algorithm template to obtain a desensitization encrypted file.
According to an embodiment of the present invention, there is provided a government-sensitive data-based obfuscated encryption system.
As shown in fig. 2, the confusion encryption system based on government affairs sensitive data according to the embodiment of the present invention includes:
an object determination module 201, configured to obtain government affair data, and determine a desensitized object according to the government affair data;
the type determining module 203 is used for analyzing the desensitized object and determining the type of the desensitized object;
an encryption template selection module 205, configured to select, according to the type of the desensitized object, an obfuscated encryption algorithm template corresponding to the type of the desensitized object from preset obfuscated encryption templates;
and the obfuscation encryption module 207 is configured to perform desensitization encryption processing on the desensitized object by using an obfuscation encryption algorithm template to obtain a desensitization encrypted file.
In specific application, according to different types of government affair systems and environments, different obtaining modes can be adopted to obtain government affair data, such as: the government affair data is obtained by butting the government affair system through the database (for example, the relational databases Oracel, Mysql, Hive and the like are butted); or directly obtaining government affair data through data copying; and (4) docking the government affair system database through a data interface (data api interface) to obtain government affair data.
The different acquisition modes of government affair data, which in turn lead to different confirmation methods when confirming desensitized objects, generally speaking, different acquisition modes have corresponding confirmation methods, such as: when the government affair data are obtained by butting and connecting government affair systems through relational databases Oracel, Mysql, Hive and the like, a preset script program can be used for connecting the databases and extracting field original data from a table, and a desensitization object is determined; when the government affair data is obtained through data copying, most of files of the government affair data are tables (such as excel tables), and at the moment, the data information can be analyzed by utilizing a poi algorithm, row and column data are obtained, and desensitization objects are determined; when government affair data are acquired by butting a government affair system database through a data api interface, the json data exchange format can be used for analyzing the encrypted target data to be desensitized, field data are acquired, and a desensitized object is determined.
In addition, after the desensitization object is extracted, the data can be distinguished by using a regular expression matching method to determine the type of the desensitization object, which mainly comprises: the data of the character type is in government affair data, and generally is data which does not need correlation query and does not influence statistical analysis; while numeric and alphabetic data are typically data that require an associated query and affect statistical analysis.
In addition, when the method is applied specifically, algorithm templates used by different types of data are different, and a dictionary type template is generated for some data which do not need to be associated with query and do not influence statistical analysis; on the contrary, for a special encryption template which needs to be associated with the query and affects the statistical analysis and is generated to enable the data to have relevance and usability, the data can be guaranteed to be relatively large and authentic after being encrypted. Such as: the numerical values of non-key coding properties of streets, parks, industries and the like can generate a dictionary type encryption template; key information such as taxpayer identification number, specific numerical value, percentage and the like needs to generate a special encryption template, so that the obtained encryption identification number is consistent with the original characteristics, and real identification number information cannot be revealed.
Certainly, the algorithm template provides more convenient desensitization processing for a type of data, when new types of data appear but no corresponding algorithm template is used as a support, a developer of a program is required to analyze the data, a new template algorithm is developed according to a specific processing mode and logic and is built in the program for a user to use.
In practical application, some obfuscated encryption templates mainly include: a random dictionary confusion replacement algorithm template, a cyclic norm confusion replacement algorithm template, a fuzzy interval confusion replacement algorithm template and a system confusion replacement algorithm template.
The random dictionary confusion replacement algorithm is used for performing random dictionary replacement on the content in the desensitized object. The algorithm firstly scrambles the original sequence of the data to generate random letters, and combines and codes the letters and the scrambled sequence numbers. The circular norm confusion replacement algorithm is to perform circular norm confusion replacement on the content in the object to be desensitized, the algorithm mainly aims at digital data and letter type data, and has different algorithms aiming at the digital data and the letter type data, taking enterprise credit codes as an example, and the method specifically comprises the following steps:
for digital data, the following formula can be used for confusion replacement:
wherein n is the number of unified credit codes, Pn is each digit of the credit codes, i is a positive integer (polling) from 0 to 9, the sum of each digit Pn and i in the credit codes (adding and reserving the ones) is replaced, and P is the final desensitized result content.
For the alphabetical data, the following formula can be adopted for confusion replacement:
wherein n is the number of the unified credit codes, Pn is each letter of the unified credit codes, the value range is the letters a-Z (corresponding to subscripts 1-26), i is a positive integer (polling) of 0-9, the subscript n of the current Pn is summed with i (more than 26 is left for 26) to obtain an alternative letter subscript, then the alternative letter is obtained according to the range of Pn for replacement, and P is the final desensitized result content.
For the fuzzy interval confusion replacement algorithm, fuzzy interval confusion replacement is performed on the content in the desensitized object. The algorithm is mainly characterized in that accurate numerical values are firstly compartmentalized, and then algorithm calculation and dictionary replacement areas are carried out on the basis. Such as: digital compartmentalization: setting a growth interval of a numerical algorithm, and judging according to the current numerical value to obtain a corresponding interval numerical value; and (3) algorithm calculation: adding the maximum and minimum values of the interval to obtain the number of times of the current numerical value power determined by the digit of the numerical value; dictionary replacement: and matching and replacing the numerical value calculated by the algorithm with the power dictionary T. The formula used is as follows:
wherein a is greater than 0, Pmin is interval minimum, Pmax is interval maximum, n is a positive integer, the value of n is determined by the digit of the sum of Pmin and Pmax, and the value of T is determined by the digital dictionary. Examples of intervals are shown in the following table:
| unit of | Growth interval | Sample interval |
| All the details of | Is free of | Less than 10 thousands (0-10 thousands) |
| Hundred thousand | 10 ten thousand | 10-20 ten thousand and 20-30 ten thousand |
| Million of | 100 ten thousand | 100-200 ten thousand and 200-300 ten thousand |
| Tens of millions of | 500 ten thousand | 1500 ten thousand of 1000-year sand and 2000-year sand |
The digital dictionary examples can be shown in the following table:
| unit of | Dictionary value |
| Wan (10 ^ 4) | TT |
| Hundred thousand (10 ^ 5) | OHT |
| Million (10 ^ 6) | OM |
| Million (10 ^ 7) | TM |
For the binary obfuscation replacement algorithm, the contents in the desensitized object are subjected to binary obfuscation replacement. The algorithm mainly replaces the accurate value by obtaining the value through a binary algorithm. The formula used can be as follows:
wherein Pn is the original sum; R1-Rx is the result of the cyclic complementation operation of Pn-P (n + x) on 8 (R1 is the result of the complementation of Pn on 8, and Rx is the result of the complementation of P (n + x) on 8); m is the confounding desensitization result and is formed by combining Rx-R1 from left to right.
In order to more vividly understand the technical scheme of the invention, the comparison between the government affair data before desensitization encryption and the desensitization confusion encrypted data is visually embodied by two groups of tables.
Example (c): the raw tax data was extracted as shown in the following table:
the data after obfuscating and encrypting by the present invention is shown in the following table:
therefore, the desensitized object of the government affair data is encrypted by the obfuscated encryption algorithm, the original relevance and usability of the government affair data are reserved, the appearance is similar to the characteristics of the real data, and further the government affair data cannot be influenced on subsequent analysis and processing and the real data cannot be leaked. And the data obtained after the data are subjected to obfuscation and encryption is stored in a database, so that sensitive data are guaranteed not to fall to the ground in physical storage spaces such as the database and files, obfuscation and desensitization processing of the data are performed at an algorithm level, and sensitive data are prevented from being leaked.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A confusion encryption method based on government affair sensitive data is characterized by comprising the following steps:
acquiring government affair data, and determining a desensitized object according to the government affair data;
analyzing the desensitized object to determine the type of the desensitized object;
selecting an obfuscated encryption algorithm template corresponding to the type of the desensitized object from preset obfuscated encryption templates according to the type of the desensitized object;
and carrying out desensitization encryption processing on the desensitization object by using a confusion encryption algorithm template to obtain a desensitization encrypted file.
2. The government sensitive data confusion-based encryption method according to claim 1, wherein the manner of obtaining the government data comprises at least one of:
the method comprises the steps that government affair data are obtained by butting a government affair system through a database;
government affair data are obtained through data copying;
and (4) butting a government affair system database through a data interface to obtain government affair data.
3. A government-sensitive data confusion-based encryption method according to claim 2, wherein determining a desensitized object based on the government data comprises:
when government affair data are acquired by butting a database with a government affair system, a preset script program is used for connecting the database and extracting field original data from a table, and a desensitization object is determined;
when government affair data are obtained through data copying, the data information is analyzed through a poi algorithm, row and column data are obtained, and desensitization objects are determined;
when government affair data are acquired by butting a government affair system database through a data interface, analyzing encrypted target data to be desensitized by using a json data exchange format, acquiring field data and determining a desensitized object.
4. The government-sensitive data confusion-based encryption method of claim 1, wherein the analysis of the desensitized object and the determining of the type of the desensitized object comprises:
analyzing the desensitized object by using regular expression matching to determine the type of the desensitized object;
wherein the types of desensitized subjects include: digital data, alphabetic data, and text data.
5. The government-sensitive data confusion-based encryption method of claim 1, wherein the preset confusion encryption template comprises: a random dictionary confusion replacement algorithm template, a cyclic norm confusion replacement algorithm template, a fuzzy interval confusion replacement algorithm template and a system confusion replacement algorithm template.
6. A system for obfuscating encryption based on government-sensitive data, comprising:
the object determination module is used for acquiring government affair data and determining a desensitized object according to the government affair data;
the type determining module is used for analyzing the desensitized object and determining the type of the desensitized object;
the encryption template selection module is used for selecting an obfuscated encryption algorithm template corresponding to the type of the desensitized object from preset obfuscated encryption templates according to the type of the desensitized object;
and the confusion encryption module is used for carrying out desensitization encryption processing on the desensitization object by utilizing a confusion encryption algorithm template to obtain a desensitization encryption file.
7. The government sensitive data confusion-based encryption system based on claim 6, wherein the manner in which the object determination module obtains the government data comprises at least one of:
the method comprises the steps that government affair data are obtained by butting a government affair system through a database;
government affair data are obtained through data copying;
and (4) butting a government affair system database through a data interface to obtain government affair data.
8. The encryption system based on government affair sensitive data confusion according to claim 7, wherein when the object determination module determines the desensitized object according to the government affair data, when the government affair data is acquired by butting the database with the government affair system, a preset script program is used for connecting the database and extracting field original data from the table to determine the desensitized object; when government affair data are obtained through data copying, the data information is analyzed through a poi algorithm, row and column data are obtained, and desensitization objects are determined; when government affair data are acquired by butting a government affair system database through a data interface, analyzing encrypted target data to be desensitized by using a json data exchange format, acquiring field data and determining a desensitized object.
9. The encryption system based on government affair sensitive data confusion according to claim 6, wherein the type determining module analyzes the desensitized object, and when the type of the desensitized object is determined, the type of the desensitized object is determined by analyzing the desensitized object by regular expression matching; wherein the types of desensitized subjects include: digital data, alphabetic data, and text data.
10. The government-sensitive data confusion-based encryption system according to claim 6, wherein the preset confusion encryption template comprises: a random dictionary confusion replacement algorithm template, a cyclic norm confusion replacement algorithm template, a fuzzy interval confusion replacement algorithm template and a system confusion replacement algorithm template.
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Application publication date: 20211203 |