CN114077754A - Method and device for ensuring desensitization certainty based on multi-group data arrangement - Google Patents
Method and device for ensuring desensitization certainty based on multi-group data arrangement Download PDFInfo
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- CN114077754A CN114077754A CN202210019134.2A CN202210019134A CN114077754A CN 114077754 A CN114077754 A CN 114077754A CN 202210019134 A CN202210019134 A CN 202210019134A CN 114077754 A CN114077754 A CN 114077754A
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
- G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
Abstract
The application discloses a method and a device for ensuring desensitization certainty based on multi-group data arrangement, wherein the method comprises the following steps: acquiring data to be desensitized, wherein the data to be desensitized is a character string; acquiring corresponding elements of each character in a multi-dimensional array according to the position of each character in the character string, wherein the corresponding elements in the multi-dimensional array are used for indicating a character mapping relationship, and the character mapping relationship is used for mapping the characters in the character string into another different character; obtaining a mapping relation corresponding to each character according to the element corresponding to each character; and replacing each character according to the mapping relation so as to desensitize the data to be desensitized. The problem that the data determinism after desensitization cannot be guaranteed in the prior art is solved, so that the determinism after the data desensitization is guaranteed, and the difficulty of obtaining source data through reverse estimation is increased to a certain extent.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method and an apparatus for guaranteeing desensitization certainty based on multiple sets of data permutations.
Background
Sensitive data refers to data that may pose serious harm to the society or individuals after leakage. Including personal privacy data such as name, identification number, address, telephone, bank account, mailbox, password, medical information, educational background, etc.; but also data that the enterprise or social organization is not suitable for publishing, such as the business situation of the enterprise, the network structure of the enterprise, the IP address list, etc.
In the data desensitization processing, desensitization may be performed according to the data content, for example, when it is determined that a plurality of pieces of data in a predetermined field are desensitized, desensitization processing is performed on each piece of data. In desensitization, it is sometimes necessary to ensure the certainty of desensitization data, and at the same time, it is necessary to make the user unable to deduce the source data of the desensitized data as much as possible. In the prior art, a dictionary is generally used for mapping characters in a character string, and the processing method cannot meet the requirement of desensitization.
Disclosure of Invention
The embodiment of the application provides a method and a device for ensuring desensitization determinacy based on multi-group data arrangement, so as to at least solve the problem caused by the fact that the data determinacy after desensitization cannot be ensured during data desensitization in the prior art.
According to one aspect of the application, a method for guaranteeing desensitization certainty based on multiple sets of data permutations is provided, comprising: acquiring data to be desensitized, wherein the data to be desensitized is a character string; acquiring corresponding elements of each character in a multi-dimensional array according to the position of each character in the character string, wherein the corresponding elements in the multi-dimensional array are used for indicating a character mapping relationship, and the character mapping relationship is used for mapping the characters in the character string into another different character; obtaining a mapping relation corresponding to each character according to the element corresponding to each character; and replacing each character according to the mapping relation so as to desensitize the data to be desensitized.
Further, before acquiring the data to be desensitized, the method further comprises: and pre-configuring the corresponding relation between each element in the multidimensional array and the position of the character in the character string.
Further, the corresponding relation with each element in the multidimensional array is established according to the mode of the position reverse order or the sequence of the characters in the character string.
Further, obtaining the corresponding element of each character in the multidimensional array according to the position of each character in the character string comprises: under the condition that the number of the multidimensional arrays is multiple, selecting the multidimensional array corresponding to the character string according to the character string; and acquiring the corresponding element of each character in the selected multi-dimensional array according to the position of each character in the character string.
Further, selecting the multidimensional array corresponding to the character string according to the character string comprises: acquiring the number of the multidimensional arrays; acquiring the number of characters in the character string; and selecting the multidimensional array corresponding to the character string from the multidimensional arrays according to the number of the characters in the character string and the number of the multidimensional arrays.
According to another aspect of the present application, there is also provided an apparatus for guaranteeing desensitization certainty based on a plurality of sets of data arrangement, including: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data to be desensitized, and the data to be desensitized is a character string; a second obtaining module, configured to obtain, according to a position of each character in the character string, an element corresponding to each character in a multidimensional array, where the corresponding element in the multidimensional array is used to indicate a character mapping relationship, and the character mapping relationship is used to map a character in the character string into another different character; the mapping module is used for obtaining the mapping relation corresponding to each character according to the element corresponding to each character; and the desensitization module is used for replacing each character according to the mapping relation so as to desensitize the data to be desensitized.
Further, still include: and the configuration module is used for pre-configuring the corresponding relation between each element in the multidimensional array and the position of the character in the character string before acquiring the data to be desensitized.
Further, the corresponding relation with each element in the multidimensional array is established according to the mode of the position reverse order or the sequence of the characters in the character string.
Further, the second obtaining module is configured to: under the condition that the number of the multidimensional arrays is multiple, selecting the multidimensional array corresponding to the character string according to the character string; and acquiring the corresponding element of each character in the selected multi-dimensional array according to the position of each character in the character string.
Further, the second obtaining module is configured to: acquiring the number of the multidimensional arrays; acquiring the number of characters in the character string; and selecting the multidimensional array corresponding to the character string from the multidimensional arrays according to the number of the characters in the character string and the number of the multidimensional arrays.
In the embodiment of the application, data to be desensitized is acquired, wherein the data to be desensitized is a character string; acquiring corresponding elements of each character in a multi-dimensional array according to the position of each character in the character string, wherein the corresponding elements in the multi-dimensional array are used for indicating a character mapping relationship, and the character mapping relationship is used for mapping the characters in the character string into another different character; obtaining a mapping relation corresponding to each character according to the element corresponding to each character; and replacing each character according to the mapping relation so as to desensitize the data to be desensitized. The problem that the data determinism after desensitization cannot be guaranteed in the prior art is solved, so that the determinism after the data desensitization is guaranteed, and the difficulty of obtaining source data through reverse estimation is increased to a certain extent.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flow diagram of a method of ensuring desensitization certainty based on multiple sets of data permutations according to an embodiment of the application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In the present embodiment, a method for guaranteeing desensitization certainty based on multiple sets of data alignment is provided, and fig. 1 is a flowchart of a method for guaranteeing desensitization certainty based on multiple sets of data alignment according to an embodiment of the present application, as shown in fig. 1, the flowchart includes the following steps:
step S102, obtaining data to be desensitized, wherein the data to be desensitized is a character string;
step S104, acquiring corresponding elements of each character in a multidimensional array according to the position of each character in the character string, wherein the corresponding elements in the multidimensional array are used for indicating a character mapping relationship, and the character mapping relationship is used for mapping the character in the character string into another different character;
in this step, under the condition that the number of the multidimensional arrays is multiple, the multidimensional array corresponding to the character string is selected according to the character string; and acquiring the corresponding element of each character in the selected multi-dimensional array according to the position of each character in the character string. For example, the number of the multidimensional arrays is obtained; acquiring the number of characters in the character string; and selecting the multidimensional array corresponding to the character string from the multidimensional arrays according to the number of the characters in the character string and the number of the multidimensional arrays.
If there are 3 multidimensional arrays, the remainder of 3 can be taken according to the number of characters in the character string to correspond to different multidimensional arrays.
As an optional implementation, when the multidimensional array is selected according to the number of characters in the character string, a first disturbing factor may be added, wherein the first disturbing factor is used for adjusting the number of the characters; and adjusting the number of characters of the character string according to the first disturbing factor (the character string is not changed, and only the number of the characters used for the corresponding multidimensional array is disturbed by the disturbing factor), and selecting the corresponding multidimensional array according to the adjusted number of the characters. Optionally, the selection of the disturbing factor is related to the character string, for example, a first character in the character string is selected, and a first disturbing factor used is determined according to the content of the first character, wherein the number of the first disturbing factors is multiple.
As another optional implementation, the second scrambling factor may also be added to obtain the corresponding element of each character in the multidimensional array, for example, a numerical value corresponding to each character is pre-configured, (for example, an ASII code), and the corresponding element in the multidimensional array is searched according to the numerical value corresponding to each character. And searching a corresponding second disturbing factor for the numerical value corresponding to each character according to the character, wherein the second disturbing factor is used for adjusting the numerical value corresponding to the character, the adjusting mode of the second disturbing factor is configured in advance, the corresponding second disturbing factor is searched according to the adjusted numerical value corresponding to the character, and the corresponding element of the disturbed numerical value in the multidimensional array is used.
In order to make it dynamic, it is also possible to configure a plurality of multidimensional arrays, the corresponding sequence of the multidimensional arrays is adjusted according to time, and every minute passes, the sequence of the multidimensional arrays is cycled according to increasing one bit, wherein the largest multidimensional array is cycled to the first bit, the time for desensitization is recorded, the sequence of the multidimensional arrays is determined according to the time, and the corresponding mapping relationship is determined according to each character in the data to be desensitized (i.e. the method described in the above embodiment).
Step S106, obtaining a mapping relation corresponding to each character according to the element corresponding to each character;
and S108, replacing each character according to the mapping relation so as to desensitize the data to be desensitized.
In the above step, optionally, before the data to be desensitized is acquired, the corresponding relationship between each element in the multidimensional array and the position of the character in the character string may be configured in advance. For example, the correspondence relationship with each element in the multidimensional array may be established in a manner of reverse order or sequence of positions of characters in a character string.
Through the steps, the problem caused by incapability of guaranteeing the certainty of the desensitized data in the prior art is solved, so that the certainty of the desensitized data is guaranteed, and the difficulty of obtaining source data through reverse estimation is increased to a certain extent.
Before the above steps, the discovery of sensitive data can also be carried out: for example, as a first alternative: extracting a preset amount of data from a plurality of pieces of data, and determining the plurality of pieces of data as the data needing desensitization processing according to the preset amount of data. There are many kinds of extraction methods, and the following extraction methods can be adopted: acquiring the data volume of a database under a preset field; dividing the data under the preset field into a plurality of intervals according to the data quantity, wherein each interval in the plurality of intervals comprises a plurality of pieces of data; extracting a predetermined number of pieces of data from each of the sections; summarizing the data extracted in all the intervals to obtain data to be processed; and performing desensitization discovery on the data to be processed, and determining whether the data in the preset field is sensitive data. Optionally, data of a predetermined piece of data is extracted from each of the regions by a first predetermined step, where the data of the first predetermined step corresponding to each of the sections are the same or different. Optionally, the extracting a predetermined number of pieces of data from each of the intervals includes: and randomly acquiring a first piece of extracted data in each interval, and extracting a preset number of pieces of data from each interval by taking the first piece of extracted data as the first piece of data according to a first preset step corresponding to each interval.
The method for judging whether the extracted data is sensitive data or not may include: obtaining a plurality of preset discovery rules of the sensitive data, wherein each discovery rule is used for discovering the sensitive data according to at least one of the following rules: the method comprises the following steps of identifying the name of a field where data to be identified is located, the name of a form where the data to be identified is located, the position of the data to be identified in a database, and a comment of the field where the data to be identified is located; acquiring execution priorities of a plurality of discovery rules, wherein the discovery rule with the higher priority is executed preferentially; sequentially executing each discovery rule according to the execution priority of the discovery rule to discover sensitive data, wherein when each discovery rule is executed, acquiring the content to be compared of the data to be identified corresponding to the discovery rule, comparing the content to be compared with the discovery rule, and determining whether the data to be identified is sensitive data; after determining that the data to be identified is sensitive data, desensitizing the sensitive data (i.e., the desensitizing processing method shown in fig. 1).
In this embodiment, an algorithm is provided that guarantees desensitization certainty uniqueness based on multiple sets of data permutations: the function of the algorithm is to ensure the certainty of the data, the certainty of the data is ensured through the mapping of the data, the mapping relation of the data can be disordered, the desensitization algorithm ensures the mapping relation, a code table and a multidimensional array are designed, the multidimensional array is used for representing the mapping relation, the data is added with a disturbing factor, and each word finds the mapping relation of different data in each different array. The mapping relationships represented by different elements in different arrays are found according to different positions of the character to be desensitized.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor configured to run the computer program to perform the method in the above embodiments.
The programs described above may be run on a processor or may also be stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules.
Such an apparatus or system is provided in this embodiment. The device is called a device for ensuring desensitization determinism based on multi-group data arrangement and comprises: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data to be desensitized, and the data to be desensitized is a character string; a second obtaining module, configured to obtain, according to a position of each character in the character string, an element corresponding to each character in a multidimensional array, where the corresponding element in the multidimensional array is used to indicate a character mapping relationship, and the character mapping relationship is used to map a character in the character string into another different character; the mapping module is used for obtaining the mapping relation corresponding to each character according to the element corresponding to each character; and the desensitization module is used for replacing each character according to the mapping relation so as to desensitize the data to be desensitized.
The system or the apparatus is used for implementing the functions of the method in the foregoing embodiments, and each module in the system or the apparatus corresponds to each step in the method, which has been described in the method and is not described herein again.
For example, it also includes: and the configuration module is used for pre-configuring the corresponding relation between each element in the multidimensional array and the position of the character in the character string before acquiring the data to be desensitized. Optionally, the corresponding relationship with each element in the multidimensional array is established in a manner of reverse order or sequence of positions of characters in the character string.
For another example, the second obtaining module is configured to: under the condition that the number of the multidimensional arrays is multiple, selecting the multidimensional array corresponding to the character string according to the character string; and acquiring the corresponding element of each character in the selected multi-dimensional array according to the position of each character in the character string. Optionally, the second obtaining module is configured to: acquiring the number of the multidimensional arrays; acquiring the number of characters in the character string; and selecting the multidimensional array corresponding to the character string from the multidimensional arrays according to the number of the characters in the character string and the number of the multidimensional arrays.
The embodiment solves the problem caused by incapability of ensuring the data certainty after desensitization in the prior art, thereby ensuring the certainty after data desensitization and increasing the difficulty of obtaining source data by reverse thrust to a certain extent.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for ensuring desensitization certainty based on multiple sets of data permutations, comprising:
acquiring data to be desensitized, wherein the data to be desensitized is a character string;
acquiring corresponding elements of each character in a multi-dimensional array according to the position of each character in the character string, wherein the corresponding elements in the multi-dimensional array are used for indicating a character mapping relationship, and the character mapping relationship is used for mapping the characters in the character string into another different character;
obtaining a mapping relation corresponding to each character according to the element corresponding to each character;
and replacing each character according to the mapping relation so as to desensitize the data to be desensitized.
2. The method of claim 1, further comprising, prior to acquiring the data to be desensitized:
and pre-configuring the corresponding relation between each element in the multidimensional array and the position of the character in the character string.
3. The method of claim 2, wherein the correspondence with each element in the multidimensional array is established in a reverse or sequential manner of the position of the characters in the string.
4. The method of any one of claims 1 to 3, wherein obtaining the corresponding element of each character in the multidimensional array according to the position of each character in the character string comprises:
under the condition that the number of the multidimensional arrays is multiple, selecting the multidimensional array corresponding to the character string according to the character string;
and acquiring the corresponding element of each character in the selected multi-dimensional array according to the position of each character in the character string.
5. The method of claim 4, wherein selecting the multidimensional array corresponding to the character string according to the character string comprises:
acquiring the number of the multidimensional arrays;
acquiring the number of characters in the character string;
and selecting the multidimensional array corresponding to the character string from the multidimensional arrays according to the number of the characters in the character string and the number of the multidimensional arrays.
6. An apparatus for ensuring desensitization certainty based on a plurality of sets of data permutations, comprising:
the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data to be desensitized, and the data to be desensitized is a character string;
a second obtaining module, configured to obtain, according to a position of each character in the character string, an element corresponding to each character in a multidimensional array, where the corresponding element in the multidimensional array is used to indicate a character mapping relationship, and the character mapping relationship is used to map a character in the character string into another different character;
the mapping module is used for obtaining the mapping relation corresponding to each character according to the element corresponding to each character;
and the desensitization module is used for replacing each character according to the mapping relation so as to desensitize the data to be desensitized.
7. The apparatus of claim 6, further comprising:
and the configuration module is used for pre-configuring the corresponding relation between each element in the multidimensional array and the position of the character in the character string before acquiring the data to be desensitized.
8. The apparatus of claim 7, wherein the correspondence to each element in the multidimensional array is established in a reverse or sequential manner of the position of the characters in the string.
9. The apparatus of any one of claims 6 to 8, wherein the second obtaining module is configured to:
under the condition that the number of the multidimensional arrays is multiple, selecting the multidimensional array corresponding to the character string according to the character string;
and acquiring the corresponding element of each character in the selected multi-dimensional array according to the position of each character in the character string.
10. The apparatus of claim 9, wherein the second obtaining module is configured to:
acquiring the number of the multidimensional arrays;
acquiring the number of characters in the character string;
and selecting the multidimensional array corresponding to the character string from the multidimensional arrays according to the number of the characters in the character string and the number of the multidimensional arrays.
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| CN202210019134.2A CN114077754A (en) | 2022-01-10 | 2022-01-10 | Method and device for ensuring desensitization certainty based on multi-group data arrangement |
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| WO2017088683A1 (en) * | 2015-11-24 | 2017-06-01 | 阿里巴巴集团控股有限公司 | Data desensitization method and system |
| CN112257108A (en) * | 2020-10-23 | 2021-01-22 | 天津新开心生活科技有限公司 | Data desensitization method and device, medium and electronic equipment |
| CN113094742A (en) * | 2021-03-15 | 2021-07-09 | 国政通科技有限公司 | Data desensitization method, data desensitization device, electronic device and storage medium |
| CN113836580A (en) * | 2021-09-26 | 2021-12-24 | 中国电信股份有限公司 | Data desensitization method, system, equipment and storage medium |
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- 2022-01-10 CN CN202210019134.2A patent/CN114077754A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017088683A1 (en) * | 2015-11-24 | 2017-06-01 | 阿里巴巴集团控股有限公司 | Data desensitization method and system |
| CN112257108A (en) * | 2020-10-23 | 2021-01-22 | 天津新开心生活科技有限公司 | Data desensitization method and device, medium and electronic equipment |
| CN113094742A (en) * | 2021-03-15 | 2021-07-09 | 国政通科技有限公司 | Data desensitization method, data desensitization device, electronic device and storage medium |
| CN113836580A (en) * | 2021-09-26 | 2021-12-24 | 中国电信股份有限公司 | Data desensitization method, system, equipment and storage medium |
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