Reputation Management Using Trust Based Decision Making System Through Temporal and Correlation Analysis

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Provided by: ISR JOURNALS
Topic: Security
Format: PDF
With the rapid development of reputation systems in various online social networks, manipulations against such systems are evolving quickly. In this paper, the authors propose scheme TATA, the abbreviation of joint Temporal And Trust Analysis (TATA), 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 their 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.
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