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A semi-supervised privacy-preserving clustering algorithm for healthcare

文献类型：期刊论文

作者Huang, Meiyu1,2; Chen, Yiqiang1; Chen, Bo-Wei3; Liu, Junfa1; Rho, Seungmin4; Ji, Wen1
刊名PEER-TO-PEER NETWORKING AND APPLICATIONS
出版日期2016-09-01
卷号9期号:5页码:864-875
关键词Privacy-preserving cloud clustering Data perturbation Semi-supervised Large margin nearest cluster metric Brain fiber
ISSN号1936-6442
DOI10.1007/s12083-015-0356-9
英文摘要With the proliferation of healthcare data, the cloud mining technology for E-health services and applications has become a hot research topic. While on the other hand, these rapidly evolving cloud mining technologies and their deployment in healthcare systems also pose potential threats to patient's data privacy. In order to solve the privacy problem in the cloud mining technique, this paper proposes a semi-supervised privacy-preserving clustering algorithm. By employing a small amount of supervised information, the method first learns a Large Margin Nearest Cluster metric using convex optimization. Then according to the trained metric, the method imposes multiplicative perturbation on the original data, which can change the distribution shape of the original data and thus protect the privacy information as well as ensuring high data usability. The experimental results on the brain fiber dataset provided by the 2009 PBC demonstrated that the proposed method could not only protect data privacy towards secure attacks, but improve the clustering purity.
资助项目National Natural Science Foundation of China[61173066] ; National Natural Science Foundation of China[61472399] ; Beijing Natural Science Foundation[4112056] ; Beijing Natural Science Foundation[4122078] ; Beijing Natural Science Foundation[4144085]
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000379344100006
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/8293]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ji, Wen
作者单位1.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
4.Sungkyul Univ, Dept Multimedia, Sungkyul, South Korea
推荐引用方式
GB/T 7714		 Huang, Meiyu,Chen, Yiqiang,Chen, Bo-Wei,et al. A semi-supervised privacy-preserving clustering algorithm for healthcare[J]. PEER-TO-PEER NETWORKING AND APPLICATIONS,2016,9(5):864-875.
APA Huang, Meiyu,Chen, Yiqiang,Chen, Bo-Wei,Liu, Junfa,Rho, Seungmin,&Ji, Wen.(2016).A semi-supervised privacy-preserving clustering algorithm for healthcare.PEER-TO-PEER NETWORKING AND APPLICATIONS,9(5),864-875.
MLA Huang, Meiyu,et al."A semi-supervised privacy-preserving clustering algorithm for healthcare".PEER-TO-PEER NETWORKING AND APPLICATIONS 9.5(2016):864-875.

入库方式： OAI收割

来源：计算技术研究所

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