计算机技术与发展Issue(5)：115-117,122,4.DOI:10.3969/j.issn.1673-629X.2015.05.027
水平分割数据的保护隐私聚类挖掘方法研究
Research on Privacy Preserving Clustering Method for Horizontal Partitioned Data
摘要
Abstract
Due to the advent of big data age,data sharing between business,governments and other parties is more and more frequent. Pri-vacy preserving has become an important issue in data mining. In this paper,in view of horizontally partitioned data is easy to produce the parties data privacy,collusion attack and new features of distributed,semi-honest partner,big data mining in the environment,propose a clustering mining method to protect the privacy. Combined the advantages of RSA public key cryptosystem, homomorphic encryption scheme and other cryptograph methods,can preserve the privacy of all parties on the premise of not reducing the mining accuracy. The theoretical analysis shows that this method can guarantee the security,validity and correctness for result.关键词
隐私保护/同态加密/水平分割数据/聚类挖掘/K-means算法Key words
privacy preserving/homomorphic encryption/horizontally partitioned data/clustering mining/K-means algorithm分类
信息技术与安全科学引用本文复制引用
袁武,任勋益..水平分割数据的保护隐私聚类挖掘方法研究[J].计算机技术与发展,2015,(5):115-117,122,4.基金项目
国家自然科学基金资助项目(61073188) （61073188）
