A Secure Online Reputation Defense System From Unfair Ratings Using Anomaly Detections

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
A reputation system collects feedbacks from users and aggregates these feedbacks as evidence and generates the aggregated results to the normal users. These aggregated results are called reputation scores. The authors can call this system as online feedback-based reputation system. To protect the reputation system many defense schemes have been developed. In this paper, they propose a defense scheme; it is the combination of five modules. Evaluation based filtering, time domain unfair rating detector, suspicious user correlation analysis and trust analysis based on Dempster-Shafer theory and malicious user identification and reputation recovery.
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