FFED: a novel strategy based on fast entropy to detect attacks against trust computing in cloud

Abstract

Trust management systems give way to trustworthy interactions in cloud computing. However, malicious cloud users can intentionally provide unfair ratings to benefit or reduce a cloud provider’s reputation. This paper proposes a novel detection strategy to supervise cloud users’ feedback and detect unfair rating attacks for cloud environments based on the Fast Entropy metric and named Feedback Fast Entropy-based Detection strategy (FFED). The provided detection system monitors users’ ratings in successive short periods, detects the unfair rating attacks rapidly in real-time using fast entropy algorithm and permits the scale effectively. Through the performed experimental tests, we prove the good performances of the introduced system and its advantages.