Trustworthy caching for mobile big data in social networks

Edge computing enabled social networks can improve the quality of experience (QoE) to deliver mobile big data to users, where multiple caches are placed at the edge of networks to help mobile users exchange and share contents. However, with the ever-increasing scale of mobile big data, how to provide a trustworthy caching scheme to deliver mobile social big data becomes a new challenge. To tackle the above problems, this paper presents a trustworthy edge caching scheme for mobile big data in social networks based on a matching game approach. Firstly, to guarantee the security of the networks, a trust evaluation mechanism is designed to evaluate the reliability of each edge node. Then, each content generator selects the optimal edge node to cache the content and determines the optimal caching size, where the interactions between edge nodes and mobile users are modeled by a matching game. Finally, the simulation results show that the proposal can not only improve the QoE of mobile users, but also can prevent the attacks of malicious edge nodes.