Differential Privacy Data Protection Method Based on Clustering

摘要：

　　To enhance privacy protection and improve data availability,a differential privacy data protection method ICMD-DP is proposed.Based on insensitive clustering algorithm,ICMD-DP performs differential privacy on the results of ICMD(insensitive clustering method for mixed data).The combination of clustering and differential privacy realizes the differentiation of query sensitivity from single record to group record.At the meanwhile,it reduces the risk of information loss and information disclosure.In addition.to satisfy the requirement of maintaining differential privacy for mixed data,ICMD-DP uses different methods to calculate the distance and centroid of categorical and numerical attributes.Finally,experiments are given to illustrate the availability of the method.

关键词： mixed data differential privacy clustering privacy protection

作者: LI Li-xin DING Yong-shan WANG Jia-yan

作者单位: Zhengzhou Information Science and Technology Institute Zhengzhou,China

会议类型: 国际会议

会议名称: 第九届网络分布式计算与知识发现国际会议( 2017 International Conference on Cyber-enabled distributed computing and knowledge discovery)

会议地点: 南京

会议语种:英文

页码: 12-16

在线出版日期: 2017-10-12（万方平台首次上网日期，不代表论文的发表时间）