Secure database watermark construction method based on clustering weighted multi-dimensional bucket grouping

A construction method and database technology, applied in the field of information security, can solve the problems of fragile watermarks, few available methods, and difficult implementation, and achieve the effects of data quality protection, high reliability and accuracy, and improved usability

Active Publication Date: 2021-05-14
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the watermark based on distortion-free is relatively fragile, there are few methods available at present, and it is difficult to implement.

Method used

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  • Secure database watermark construction method based on clustering weighted multi-dimensional bucket grouping
  • Secure database watermark construction method based on clustering weighted multi-dimensional bucket grouping
  • Secure database watermark construction method based on clustering weighted multi-dimensional bucket grouping

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] Such as Figure 1-2 A security database watermark construction method based on clustering weighted multi-dimensional bucket grouping shown mainly includes the steps of selecting database stable units and attributes according to the abstract domain; data clustering steps; building weighted multi-dimensional bucket grouping steps; and constructing security database watermark steps. Specific steps are as follows:

[0039] Step S1, select database stable units and attributes according to the abstract domain. After the database is subjected to external attacks (such as querying data, adding data, updating data, deleting data, etc.), the state of the database will change. When the value of a cell has not changed after being attacked, the cell is selected as a stable cell. Semantic-based attributes are divided into cell attributes, intra-tuple attributes, inter-tupl...

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Abstract

The invention provides a secure database watermark construction method based on clustering weighted multi-dimensional bucket grouping. The method is carried out by selecting a proper abstract domain, expressing a stable unit of a database by using an invariant generated by the abstract domain, grouping the database by using a multi-dimensional bucket grouping technology, and constructing a safe database watermark according to the grouped stable units and the extracted invariant attributes. The method particularly includes: selecting database stabilization units and attributes according to an abstract domain, carrying out a data clustering step; establishing a weighted multi-dimensional bucket group; and constructing a secure database watermark. According to the method, the weighted multi-dimensional bucket grouping is adopted, the data quality is improved, meanwhile, the privacy of sensitive attributes is protected, an attacker is difficult to obtain sensitive information, and then the robustness of watermarks is improved; therefore, the weights of the sensitive attributes calculated according to different scenes may be different, the usability of users is improved, the application scene of watermarks is expanded, original data are not modified, and it is ensured that the data are not distorted.

Description

technical field [0001] The invention relates to the technical field of information security, and mainly relates to a method for constructing a safe database watermark based on clustering weighted multi-dimensional bucket grouping. Background technique [0002] With the rapid development of information technology, various industries and fields have accumulated a large amount of data, and the data scale is growing at an alarming rate. Big data contains huge commercial value. In order to make better use of big data, data sharing is imperative. In the massive data shared, personal information or sensitive data are often involved. If the data is shared directly, personal privacy information may be leaked. Therefore, in order to ensure the security of personal sensitive information, privacy protection should be carried out while publishing data. Existing data privacy protection methods are mainly aimed at data with a single sensitive attribute. However, in many practical applic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/16G06F21/62G06F21/64G06F21/60G06K9/62
CPCG06F21/16G06F21/6245G06F21/64G06F21/602G06F18/23213G06F21/1063
Inventor 张迎周汪天琦邸云龙朱林林李鼎文帅东昕
Owner NANJING UNIV OF POSTS & TELECOMM
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