A semi-supervised privacy-preserving clustering algorithm for healthcare | |
Huang, Meiyu1,2; Chen, Yiqiang1; Chen, Bo-Wei3; Liu, Junfa1; Rho, Seungmin4; Ji, Wen1 | |
刊名 | PEER-TO-PEER NETWORKING AND APPLICATIONS
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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 |
DOI | 10.1007/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 |
出版者 | SPRINGER |
WOS记录号 | WOS:000379344100006 |
内容类型 | 期刊论文 |
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. |
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