Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:3 Issue:1 Year: 26 June,2014 Pages:270-274
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.
TATA (TemporalAndTrustAnalysis), Change detector, Dempster-Shafer theory
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