A Protocol of Secure Multi-party Multi-data Ranking and Its Application in Privacy Preserving Sequential Pattern Mining

摘要：

A secure multi-party multi-data ranking protocol was proposed, which was not related to any specific encryption algorithm. And it was shown that the protocol was correct and secure in the semi-honest model. A privacy-preserving sequential pattern mining solution was also designed based on secure multiparty sum protocol and secure multi-party multi-data raking protocol and a simple analysis of this solution was given. This solution can be used in many aspects: privacy-preserving consumptive action analysis of multi-marketplace, privacy-preserving disease diagnose of multi-hospital and so on.

关键词： secure multi-party computation multi-party multi-data ranking privacy preserving sequential pattern mining threshold additive homomorphic encryption

作者: Liu Wen Luo Shou-shan Wang Yong-bin Jiang Zhen-tao

作者单位: School of Computer Communication University of China Beijing,China Information Security Center Beijing University of Posts and Telecommunications Beijing.China School of Computer Communication University of China Beijing.China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 272-275

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）