Technology of Information Security
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1776-1781,1787

Parallel K-means algorithm with differential privacy preservation and outlier pruning

Fan Yikang
Liu Jianwei
School of Electronic Information Engineering, Beihang University, Beijing 100191, China

Abstract

Aiming at the problem of privacy protection of clustering analysis in big data environment, based on the MapReduce computing framework, this paper proposed a parallel K-means algorithm that supported differential privacy protection and outlier elimination. The algorithm parallelly calculated the Euclidean distance matrix and nearest neighbor hypersphere radius between points in data set to derive the decision threshold of outliers, and then completed the initial cluster center selection and parallel clustering process under differential privacy protection. The theoretical analysis proves that the proposed algorithm satisfies ε-differential privacy, and the experimental results show that, compared with other algorithms, this algorithm performs better and has a good balance between the validity of privacy protection, the availability of clustering result and the efficiency of implementation.

Foundation Support

国家自然科学基金资助项目(61272501)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0825
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Information Security
Pages: 1776-1781,1787
Serial Number: 1001-3695(2019)06-037-1776-06

Publish History

[2019-06-05] Printed Article

Cite This Article

樊一康, 刘建伟. 支持差分隐私保护及离群点消除的并行K-means算法 [J]. 计算机应用研究, 2019, 36 (6): 1776-1781,1787. (Fan Yikang, Liu Jianwei. Parallel K-means algorithm with differential privacy preservation and outlier pruning [J]. Application Research of Computers, 2019, 36 (6): 1776-1781,1787. )

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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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