期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：16
期号：1
页码：32-35
出版社：Seventh Sense Research Group
摘要：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 cybercompetition, 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.
