Privacy protection table data sharing algorithm based on clustering anonymity

A shared algorithm and privacy protection technology, which is applied in the field of privacy protection, can solve the problems of data information leakage, restricting the development of information technology, etc., and achieve the effects of less restrictive conditions, simple structure, high availability and privacy protection

Active Publication Date: 2019-12-10
SHIJIAZHUANG TIEDAO UNIV
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  • Abstract
  • Description
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Problems solved by technology

However, the development of information technology will inevitably increase the possibility of data leakage, thereby limiting the development of information technology

Method used

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  • Privacy protection table data sharing algorithm based on clustering anonymity
  • Privacy protection table data sharing algorithm based on clustering anonymity
  • Privacy protection table data sharing algorithm based on clustering anonymity

Examples

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Embodiment Construction

[0052] The present invention will be described in further detail below in conjunction with the examples.

[0053] The invention discloses a privacy protection table data sharing algorithm based on clustering anonymity, including application to sharing static data tables, such as sharing government affairs table data, the steps are:

[0054] Step1. Clustering processing: based on k-medios clustering table data record division, according to the distance between records in the data table, use the k-medios clustering algorithm to cluster the records in the shared static data table to obtain several clusters , that is, several data tables are obtained; the k-medios algorithm is a classic algorithm for solving clustering problems, which is simple, fast, able to handle large data sets, compact within a cluster, and distinct between clusters, so k-medios algorithm is selected The medios clustering algorithm, its implementation process is as follows.

[0055] Stepa1: Randomly select k...

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Abstract

The invention relates to a privacy protection table data sharing algorithm based on clustering anonymity, and the method comprises the steps: firstly carrying out the clustering of records in a tablethrough a k-medios clustering algorithm, and obtaining a plurality of data tables; performing anonymous processing on each data table in combination with the information loss amount to generate an anonymous data table; finally, adding noise to the sensitive attribute values in the anonymous data table, carrying out algorithm verification through example analysis and comparison with a classic k-anonymous algorithm MDAV. The availability and privacy of the algorithm are proved, and the algorithm has high application and popularization value.

Description

technical field [0001] This patent application belongs to the technical field of privacy protection, and more specifically, relates to a privacy protection table data sharing algorithm based on clustering anonymity. Background technique [0002] With the construction and development of digital government, government affairs data is gradually increasing, the scale is getting bigger and bigger, and the types are more and more, showing the characteristics of diversification and complexity. For a long time, due to the widespread phenomenon of "information islands" and "data barriers", the value of data cannot be fully utilized. Government data sharing can transfer government information from one department to another, thereby improving the phenomenon of "data islands", maximizing the value of data and improving the quality of government services. Table data sharing is one of the important ways of government data sharing. [0003] Usually "privacy" refers to the information t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/62
CPCG06F21/6245
Inventor 刘丽苹朴春慧
Owner SHIJIAZHUANG TIEDAO UNIV
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