Parallel and Distributed Systems, International Conference on (2010)
Dec. 8, 2010 to Dec. 10, 2010
Reputation systems provide a promising way to build trust relationships between users in distributed cooperation systems, such as file sharing, streaming, distributed computing and social network, through which a user can distinguish good services or users from malicious ones and cooperate with them. However, most reputation models mainly focus on evaluating the quality of services in one dimension, but care less about the preferences of different users. This paper proposes a personalized reputation model which provides each user a personalized trust view on others according to his preferences. In our approach, we aggregate the usersâ€™ preferences with collaborative filtering method and qualify it with user similarity which is integrated into the computing of reputation value. The experimental results suggest that our model can resist possible kinds of malicious behaviors efficiently.
reputation system, similarity, eigentrust
Huai-Min Wang, Wei Liu, Yang-Bin Tang, "Personalized Reputation Model in Cooperative Distributed Systems", Parallel and Distributed Systems, International Conference on, vol. 00, no. , pp. 740-745, 2010, doi:10.1109/ICPADS.2010.122