[1]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,2015,25(05):115-117.
　YUAN Wu,REN Xun-yi. Research on Privacy Preserving Clustering Method for Horizontal Partitioned Data[J].,2015,25(05):115-117.
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 水平分割数据的保护隐私聚类挖掘方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年05期
页码:
115-117
栏目:
安全与防范
出版日期:
2015-05-10

文章信息/Info

Title:
 Research on Privacy Preserving Clustering Method for Horizontal Partitioned Data
文章编号:
1673-629X（2015)05-0115-03
作者:
 袁武; 任勋益
 南京邮电大学 计算机学院
Author(s):
 YUAN Wu; REN Xun-yi
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
Keywords:
 ; privacy preserving; homomorphic encryption; horizontally partitioned data clustering mining; K-means algorithm
分类号:
TP301
文献标志码:
A
摘要:
 随着大数据时代的到来，数据共享在商业、政府和其他机构之间日渐频繁，如何保护各参与方的数据隐私成为亟待解决的问题。文中针对水平划分的数据容易产生的各参与方数据隐私泄露，共谋攻击和分布式、准诚信、大数据的挖掘环境中的新特点，提出了一种保护隐私的聚类挖掘算法。该方法结合RSA公钥加密技术和同态加密技术等密码学方法的优势，能够在不降低挖掘精度的前提下，保护各参与方的数据隐私。分析表明，它能够保证挖掘结果的安全性、有效性和正确性。
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.

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更新日期/Last Update: 2015-07-09