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Multi-source Privacy Preservation Method for Joint Publishing of Set-valued Data and Social Network Data

A technology of social network and data union, applied in the field of multi-source privacy protection, can solve the problems of single data protection model, difficulty in applying multi-source data simultaneous distribution, etc., and achieve the effect of avoiding excessive global generalization and excessive community changes

Active Publication Date: 2020-04-07
GUANGXI NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that the existing protection models are all aimed at a single data, and it is difficult to apply to the problem of simultaneous distribution of multi-source data, and provide a multi-source privacy protection method for joint release of set value data and social network data

Method used

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  • Multi-source Privacy Preservation Method for Joint Publishing of Set-valued Data and Social Network Data
  • Multi-source Privacy Preservation Method for Joint Publishing of Set-valued Data and Social Network Data
  • Multi-source Privacy Preservation Method for Joint Publishing of Set-valued Data and Social Network Data

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Embodiment Construction

[0042] The social network data used in the present invention is a simple anonymous undirected graph without tags, such as figure 1 , Social network data is represented by G(V, E), where V is the node set in the social network data, which represents the individual user in social life; E is the edge in the social network data, which represents the relationship in social life. E is the binary relationship of V. The set value data used in the present invention is set value data with sensitive labels, such as figure 2 , Non-sensitive data is represented by letters plus numbers, and sensitive data is represented by non-sensitive Arabic letters. For example, a1 and b1 are non-sensitive data, and α and γ are sensitive data. The connection between the set value data and the social network data is: the set value data ID corresponds to the social network data node number. For example, the data record with the set value data ID t1 is owned by the social network data user node V1.

[0043]...

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Abstract

The invention discloses a multi-source privacy protection method for jointly publishing set-valued data and social network data. As for attack performed by the aid of non-sensitive values of degree and set-valued data of social network data, the method includes the steps: firstly, grouping and generalizing the set-valued data, requesting each group to meet privacy requirements and avoiding excessive overall generalization; secondly, achieving anonymity of the corresponding social network data in groups based on grouping and generalizing of the set-valued data, performing community inspection on the social network data before anonymity, and performing disturbance inside a community as far as possible in anonymity to avoid excessive change of the community in anonymity. The method is applicable to simultaneous publishing of multi-source data.

Description

Technical field [0001] The invention relates to the technical field of data privacy release, in particular to a multi-source privacy protection method for joint release of set-value data and social network data. Background technique [0002] With the rapid development of the Internet, people conduct various activities on the Internet, resulting in social network data and aggregated data. For example, making friends and contacting friends and colleagues on social applications such as QQ, WeChat, Facebook, etc., and shopping on e-commerce platforms such as Amazon, Taobao, and JD. In order to dig deeper into the value of these data, data miners and data analysts will analyze the data. However, the direct release of these social network data and set value data will leak user information, which brings potential harm to users. [0003] At present, there are some researches on the privacy protection of social network data and set-valued data, and there are probably the following aspects...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/62
CPCG06F21/6263
Inventor 李先贤林汕刘鹏王如希
Owner GUANGXI NORMAL UNIV
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