Secured Friending in Proximity based Mobile Social Network
In recent days there is a tremendous rise in the need of proximity based mobile social networks. The basic function is to find friends in close proximity with matching profiles securely which is crucial. The earlier profile matching models directly publish the user profiles while searching friends with matching profiles. User profiles may contain many confidential details which the users are unwilling to share with strangers. In this paper we use privacy preserving protocols with two levels of privacy along with advanced encryption standard to securely find friends with matching profiles in close proximity which is the primary goal. We do not use any trusted central server. Hence our system is distributed. In this paper we also provide security for the shared data associated with multiple users with the help of a multi party access control model which is the secondary goal of our system. Evaluation using real data and actual implementation shows that this mechanism improves security and is privacy preserving, verifiable and efficient.
Friending, Profiling, Proximity, Profile matching, Multi party access control model, Privacy.