文献类型：期刊文献

英文题名：A novel anonymity algorithm for privacy preserving in publishing multiple sensitive attributes

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, 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, 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：4

期号：22

起止页码：4923-4927

外文期刊名：Research Journal of Applied Sciences, Engineering and Technology

收录：EI(收录号：20124615672516);Scopus(收录号：2-s2.0-84868642358)

语种：英文

外文关键词：Engineering

摘要：Publishing the data with multiple sensitive attributes brings us greater challenge than publishing the data with single sensitive attribute in the area of privacy preserving. In this study, we propose a novel privacy preserving model based on k-anonymity called (α, β, k)-anonymity for databases. (α, β, k)-anonymity can be used to protect data with multiple sensitive attributes in data publishing. Then, we set a hierarchy sensitive attribute rule to achieve (α, β, k)-anonymity model and develop the corresponding algorithm to anonymize the micro data by using generalization and hierarchy. We also design experiments to show the application and performance of the proposed algorithm. ? Maxwell Scientific Organization, 2012.