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A Secure Online Reputation Defense System from Unfair Ratings using Anomaly Detections
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 1 |
| Year of Publication: 2014 |
| Authors: Asha Baby, A. Kumaresan, K. Vijayakumar |
10.5120/16179-4763
|
Asha Baby, A. Kumaresan, K. Vijayakumar . A Secure Online Reputation Defense System from Unfair Ratings using Anomaly Detections. International Journal of Computer Applications. 93, 1 ( May 2014), 17-21. DOI=10.5120/16179-4763
Abstract
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. We can call this system as online feedback-based reputation system. To protect the reputation system many defense schemes have been developed. In this paper we propose a defense scheme; it is the combination of five modules. Evaluation based filtering, Time domain unfair rating detector, suspicious user correlation analysis, trust analysis based on Dempster-Shafer theory and malicious user identification and reputation recovery. This system identifies the items under attacks, the time when the attacks occur and unfair raters who insert unfair ratings. Compared with existing systems this system achieves detection of high unfair ratings and reduces the detection of false dishonest ratings.
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