Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
3149-3154

(k，l) weighted anonymous algorithm for social network based on KFCMSA

Shi Wei1,2
Wang Yuanyuan1,2
Li Gang1,2
Zhang Xing1,2
1. School of Electronics & Information Engineering, Liaoning University of Technology, Jinzhou Liaoning 121001, China
2. Key Laboratory of Security for Network & Data in Industrial Internet of Liaoning Province, Jinzhou Liaoning 121001, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0836

Abstract

The general research of graph data privacy protection mainly focuses on simple graphs, which has a limited scope of application. Taking the privacy protection of the weight graph data as the research object can improve the availability and effectiveness of the data after the weight graph is published. This paper studied the problem of serious data distortion caused by the need to add and delete a large number of edges and nodes when using the clustering anonymization method to process social network data. It proposed the(k, l) weighted social network anonymity algorithm KFCMSA(combined k-member fuzzy clustering and simulated annealing), and clustered the weighted social network into different clusters using the improved clustering algorithm. It generalized the edge weights of nodes in the same cluster to make nodes satisfy l diversity. While implementing k-degree anonymity, it effectively reduced the amount of edge changes, improved the availability of data, and prevented homogeneity attacks while achieving optimal clustering. The clustering quality experiment and data availability analysis show that the algorithm has high performance advantages and high edge retention rate.

Foundation Support

国家自然科学基金资助项目(61802161)
辽宁省教育厅科学研究项目(JZL202015404,LJKZ0625)
辽宁省应用基础研究计划资助项目(2022JH2/101300280)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0836
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Technology of Information Security
Pages: 3149-3154
Serial Number: 1001-3695(2023)10-041-3149-06

Publish History

[2023-04-19] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

史伟, 王园园, 李刚, 等. 基于KFCMSA的(k，l)加权社交网络匿名算法 [J]. 计算机应用研究, 2023, 40 (10): 3149-3154. (Shi Wei, Wang Yuanyuan, Li Gang, et al. (k，l) weighted anonymous algorithm for social network based on KFCMSA [J]. Application Research of Computers, 2023, 40 (10): 3149-3154. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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