文献类型：期刊文献

英文题名：A novel K-NN classification algorithm for privacy preserving in cloud computing

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：4865-4870

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

收录：EI(收录号：20124615672508);Scopus(收录号：2-s2.0-84868658481)

语种：英文

外文关键词：Cloud computing - Data privacy - Pattern recognition

摘要：We can only enjoy the full benefits of Cloud computing if we can address the privacy disclosure problem about individual or company. As large amounts of data which are stored in the cloud contain private information and are in non-aggregate format, sharing the data with third-party service providers in the cloud without strict restriction will cause great danger to data privacy. Although increased awareness of the privacy issues in the cloud, little work has been done in privacy-preserving data classification based cloud environment. To solve this problem, we explore a novel algorithm named PPKC (Privacy Preserving K-NN Classification) for mining data in the cloud without the disclosure of sensitive information. ? Maxwell Scientific Organization, 2012.