Privacy Preserving Clustering over Distributed Data

摘要：

Data mining based on privacy preserving is the combination of information security technology and knowledge discovery technology. A simple and effective privacy-preserving distributed mining method of clustering (PPD-SMD) and (PPD-JD) is proposed to solve the issue about privacy preserving of cluster based on Binary and Nominal Attributes distance. This method brings the secure protocol and crypto-algorithm in the data models of the horizontal distributed. Using semi-trusted third party (STTP), PPD-SMD and PPD-JD do not transfer real data to other sites in clustering procedure. In the end, analysis in security, efficient and complexity are carried on.

关键词： Distributed clustering Privacy-preserving Crypto -graphy STTP

作者: Fan-rong Meng Bin Liu Chu-jiao Wang

作者单位: School of Computer Science &TechnologyChina University of Mining &TechnologyXuzhou, China School of Computer Science & Technology China University of Mining & Technology Xuzhou, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）