文献类型：会议论文

英文题名：Data Mining of Privacy Preserving Based on Secret Sharing Technology

作者：Liu, Jianguo[1]; Liu, Xiaoyu[1]; Chen, Zhansheng[1]; Hu, Zhengkun[1]

第一作者：刘建国

通讯作者：Liu, Jianguo

机构：[1] College of Applied Science & Technology, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学应用科技学院

会议论文集：Data Processing Techniques and Applications for Cyber-Physical Systems, DPTA 2019

会议日期：November 15, 2019 - November 16, 2019

会议地点：Shanghai, China

语种：英文

外文关键词：Cryptography - Data privacy - Distributed database systems - Embedded systems

摘要：Based on Shamir secret sharing technology, this paper designs a vertical distributed association rule data mining algorithm with privacy-preserving level, and analyses the correctness, complexity and security of the algorithm. At the same time, it points out that under the hypothesis of quasi-honesty attack, the algorithm is not only safe, but also can effectively prevent collusion between participants. This algorithm is suitable for privacy-preserving data mining in relatively small distributed databases. ? 2020, Springer Nature Singapore Pte Ltd.