Threat Analysis and Malicious User Detection in Reputation Systems using Mean Bisector Analysis and Cosine Similarity (MBACS)

Jnanamurthy, H K and Warty, Chirag and Singh, Sanjay (2013) Threat Analysis and Malicious User Detection in Reputation Systems using Mean Bisector Analysis and Cosine Similarity (MBACS). In: Threat Analysis and Malicious User Detection in Reputation Systems using Mean Bisector Analysis and Cosine Similarity, Institute of Electrical and Electronics Engineering.

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Abstract

Feedback reputation systems are gaining popularity as dealing with unfair ratings in reputation systems has been recognized as an important but difficult task. This problem is challenging when the number of true user ratings is relatively small and unfair ratings plays majority in rated values. In this paper, we propose a new method to find malicious users in online reputation systems using Mean Bisector Analysis and Cosine Similarity (MBACS). Here the effort is mainly concentrated on abnormals in both rating-values domain and the malicious users domain. MBACS is very efficient to detect malicious user ratings and aggregate trustful ratings. The proposed reputation system is evaluated through simulations, MBACS system can significantly reduce the impact of unfair ratings.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Online Reputation System; Trust in e-commerce;Feedback Reputation System; Malicious User Detection
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 20 Jan 2014 06:12
Last Modified: 20 Jan 2014 06:12
URI: http://eprints.manipal.edu/id/eprint/138462

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