Securing online reputation systems through trust modeling and temporal analysis
Date of Original Version
With the rapid development of reputation systems in various online social networks, manipulations against such systems are evolving quickly. In this paper, we propose scheme TATA, the abbreviation of joint Temporal And Trust Analysis, which protects reputation systems from a new angle: the combination of time domain anomaly detection and Dempster-Shafer theory-based trust computation. Real user attack data collected from a cyber competition is used to construct the testing data set. Compared with two representative reputation schemes and our previous scheme, TATA achieves a significantly better performance in terms of identifying items under attack, detecting malicious users who insert dishonest ratings, and recovering reputation scores. © 2005-2012 IEEE.
IEEE Transactions on Information Forensics and Security
Liu, Yuhong, Yan Sun, Siyuan Liu, and Alex C. Kot. "Securing online reputation systems through trust modeling and temporal analysis." IEEE Transactions on Information Forensics and Security 8, 6 (2013): 936-948. doi:10.1109/TIFS.2013.2238929.