Cluster-Based Trust Model for Online Reputation System
||International Journal of Computer Trends and Technology (IJCTT)|
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : A.Deepthi Priyanka , Punugoti Srikanth , Janapati Venkata Krishna|
A.Deepthi Priyanka , Punugoti Srikanth , Janapati Venkata Krishna. "Cluster-Based Trust Model for Online Reputation System". International Journal of Computer Trends and Technology (IJCTT) V16(1):32-35, Oct 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
with the rapid development of online reputation systems, Manipulations against such systems are evolving quickly. In This paper, we propose a Cluster based approached theory to protect reputations. Tested against users attack data taken from a cyber-competition, the proposed system has achieved a better performance in terms of accurately identifying unwanted users. It also describes a great conceivable to effectively remove dishonest ratings and keep the online reputation system a secure and fair marketplace. We collect all the information of the user and depend on their rating we get the dishonest users. Cluster based approach means we make the clusters of different types of user on their rating status which are given by the users for different items and make all the security for his/her rating or feedback.
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Clusters, Reputations, Security