Detection and Filtering of Collaborative Malicious Users in Reputation System using Quality Repository Approach

Jnanamurthy, H K and Singh, Sanjay (2013) Detection and Filtering of Collaborative Malicious Users in Reputation System using Quality Repository Approach. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013, 22 to 25, August 2013, SJEC, Mysore.

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Abstract

Online reputation system is gaining popularity as it helps a user to be sure about the quality of a product/service he wants to buy. Nonetheless online reputation system is not immune from attack. Dealing with malicious ratings in reputation systems has been recognized as an important but difficult task. This problem is challenging when the number of true user’s ratings is relatively small and unfair ratings plays majority in rated values. In this paper, we have proposed a new method to find malicious users in online reputation systems using Quality Repository Approach (QRA). We mainly concentrated on anomaly detection in both rating values and the alicious users. QRA is very efficient to detect malicious user ratings and aggregate true ratings. The proposed reputation system has been evaluated through simulations and it is concluded that the QRA based system significantly reduces the impact of unfair ratings and improve trust on reputation score with lower false positive as compared to other method used for the purpose.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Online Reputation System, Quality Repository, Collaborative Attack
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 30 Oct 2013 05:00
Last Modified: 30 Oct 2013 06:33
URI: http://eprints.manipal.edu/id/eprint/137606

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