A semi-supervised privacy-preserving clustering algorithm for healthcare

doi:10.1007/s12083-015-0356-9

	A semi-supervised privacy-preserving clustering algorithm for healthcare
	Huang, Meiyu 1,2; Chen, Yiqiang 1; Chen, Bo-Wei 3; Liu, Junfa 1; Rho, Seungmin 4; Ji, Wen 1
	2016-09-01
发表期刊	PEER-TO-PEER NETWORKING AND APPLICATIONS
ISSN	1936-6442
卷号	9 期号:5 页码:864-875
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.
关键词	Privacy-preserving cloud clustering Data perturbation Semi-supervised Large margin nearest cluster metric Brain fiber
DOI	10.1007/s12083-015-0356-9
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000379344100006
出版者	SPRINGER
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8294
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.