A Recommendation-based Matchmaking Scheme for Multiple Mobile Social Networks against Private Data Leakage

Abstract

Mobile social networks (MSNs) enable users to discover and interact with existing and potential friends both in the cyberspace and in the real world. Although mobile social network applications bring us much convenience, privacy concerns become the key security issue hindering their wide adoptions. In this paper, we propose a recommendation- based matchmaking scheme in multiple MSNs, which can help users to find their potential friends without disclosing their private information. The correctness and security analyzing results show that our scheme can resist both semihonest and malicious attacks while providing matchmaking functionality against private data leakage.