详细信息
基于茫然第三方的比较相同集合的计算实现
Computing Intersection Across Private Datasets Based On The Oblivious Third-Part
文献类型:期刊文献
中文题名:基于茫然第三方的比较相同集合的计算实现
英文题名:Computing Intersection Across Private Datasets Based On The Oblivious Third-Part
作者:刘洁[1]
机构:[1]华东理工大学计算机科学与工程系,上海200237
年份:2012
卷号:3
期号:11
起止页码:18
中文期刊名:信息安全与技术
语种:中文
中文关键词:安全多方计算;茫然第三方;交换加密;函数
外文关键词:secure multi-party computation; the oblivious third-part; commutative encryption; hash function
摘要:互不信任的个成员通过网络共同完成可靠的计算任务是可信计算的热点,我们借助茫然第三方,构建了安全多方求解相同集合的比较协议。该协议保证了计算过程中隐私数据的安全性,在社交网络、社会公共服务系统中应用前景广阔。
N parties were involved in the computation of a function,Research on secure multi-party computation is of great interest in trust computing. Based on the oblivious third-part , a protocol for computing intersection of equality is proposed. The protocol is secure and efficient. It is believed that the protocol may be of practical significance for selective document sharing, the social network and social public services.
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