文献类型：期刊文献

英文题名：An effective min-attribute generalization algorithm to protect private data based cloud environment

作者：Wang, Jian[1]

第一作者：王健

通讯作者：Wang, J.|[1048412d09c322f]王健;

机构：[1] College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450002, Henan, China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450002, Henan, China|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

年份：2012

卷号：7

期号：3

起止页码：1199-1203

外文期刊名：International Review on Computers and Software

收录：EI(收录号：20124515641007);Scopus(收录号：2-s2.0-84868151515)

语种：英文

外文关键词：Cloud computing

摘要：With the development of the cloud computing technology, more and more companies are willing to apply this technology. When our private data are out-sourced in cloud computing, we should guarantee the confidentiality and searchability of the sensitive data. However, nowadays privacy preserving issues in the cloud have not been carefully explored at current stage. To relieve individuals' concerns of their data privacy, this paper explores an effective algorithm based on privacy protocol and min-attribute generalization to avoid the disclosure of private information in the cloud environment. This paper also provides security analysis and experimental evaluation for the proposed algorithm. ? 2012 Praise Worthy Prize S.r.l.