Privacy issues and challenges for context-aware mobile social networks

The privacy issues are main problems need to be solved for context aware mobile social networks. In this paper we survey the privacy challenges and study the models of indirect privacy inference attacks for mobile social network. It mainly includes three kinds of inference attack models (1) social relationship based attacks (2)user behavior based attack (3)location based attack. Besides, we propose a comprehensive defending framework for privacy attacks for mobile social networks, which is able to support to handle the privacy attacks for mobile social networks. And an attack-defense evaluation model is proposed for privacy attack-defense.