移动社会网络中用户相似性计算的隐私保护研究

Protected Private Information for Proximity Computingin Mobile Social Network

移动社会网络(MSN)增强了虚拟世界与现实世界的联系,它允许移动用户发现其现实世界中附近的用户并与之交流。在MSN应用中,为提供更好的服务,通常会比较两个用户的相似性,但在计算用户相似性的过程中很有可能泄露用户的隐私信息。针对这一问题,设计了两种新的相似性计算协议,这些协议保证了在进行相似性计算时不会泄露用户的任何隐私信息。

Mobile social network （MSN） extend social network in the cyberspace into the real world.It allows mobile users to discover and interact with a stranger in their physical vicinity.Proximity computing means that two users can compare their personal profiles in MSN application.It is,however,possible disclosing user＇s privacy information.To address this concerns,two novel proximity computing protocols were designed.The protocols enable two users to perform proximity computing without disclosing any information about their profiles.