高效的安全几何交集计算协议

在不泄露各自私有信息的前提下, 一组互不信任的参与者进行的多方合作计算叫做安全多方计算(securemulti-party computation, SMC). 而安全交集计算是安全多方计算一个重要的子问题, 它主要解决如何通过协同计算求得交集并保证隐私安全的问题, 该问题在社交网络、军事、商业领域有重要的应用前景. 针对目前交集计算方法效率低下和计算复杂的特点, 该文设计了一种高效安全的交集计算协议, 该协议通过把集合中的每一个元素转换成平面空间中的点, 再利用点与点的距离关系求得交集. 最后通过仿真实验验证了协议的正确性、安全性和复杂性.

An Efficient and Secure Geometric Intersection Computation Protocol

Secure multi-party computation (SMC) is a multi-party cooperative computation conducted by a group of participants on the premise that they do not trust each other and will not disclose any of their private information. Secure intersection computation (SIC), an important sub-concern of SMC, is focused on how to acquire intersection through cooperative computing and ensure the security of privacy, which has a significant application prospect in regard to social networks, military and commercial fields. In view of the low efficiency and complexity of current intersection computation methods, a high-efficient and secure intersection computation protocol is proposed. Under such a protocol, each element within a set will be converted into a dot in planar space and the intersection can be computed and acquired through the distance relations between these dots. At last, the correctness, security and complexity of the protocol are analyzed and verified through simulation experiment.