Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3778-3783

Privacy preserving clustering algorithm based on crow search

Xia Xuewei
Zhang Lei
Li Jing
Deng Yukang
School of Information & Electronic Technology, Jiamusi University, Jiamusi Heilongjiang 154007, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0141

Abstract

K-means clustering for differential privacy has the problem of poor data utility. This paper proposed a privacy preserving clustering algorithm(CS-PCA) based on crow search and silhouette coefficient. On the one hand, the algorithm used silhouette coefficient to evaluate the clustering effect of each cluster in each iteration, added different amounts of noise according to the clustering effect, and used the idea of clustering merging to reduce the influence of noise on clustering. On the other hand, it used crow search to optimize the selection of initial centroid in the K-means privacy protection clustering algorithm of differential privacy, and prevented the algorithm from falling into local optimum. The experimental results show the CS-PCA algorithm is more effective for clustering, and also is suitable for large-scale data. As a whole, as privacy budgets continue to grow, the F-measure values of CS-PCA algorithm are 0 to 281.3312% and 4.5876% to 470.3704% higher than DP-KCCM and PADC algorithm respectively. With the same privacy budget, CS-PCA algorithm outperforms the comparison algorithm in terms of availability of clustering results.

Foundation Support

黑龙江省自然科学基金联合引导项目(LH2021F054)
黑龙江省省属高等学校基本科研业务费优秀创新团队建设项目(2022-KYYWF-0654)
黑龙江省哲学社会科学研究规划项目(22GLH084)
佳木斯大学国家基金培育项目(JMSUGPZR2022-014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0141
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Technology of Information Security
Pages: 3778-3783
Serial Number: 1001-3695(2023)12-040-3778-06

Publish History

[2023-06-15] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

夏雪薇, 张磊, 李晶, 等. 基于乌鸦搜索的隐私保护聚类算法 [J]. 计算机应用研究, 2023, 40 (12): 3778-3783. (Xia Xuewei, Zhang Lei, Li Jing, et al. Privacy preserving clustering algorithm based on crow search [J]. Application Research of Computers, 2023, 40 (12): 3778-3783. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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