The Markov-Based Evaluation on Trust and Reputation in Peer-to-Peer

A Markov-based computing model correlating trust and reputation is proposed to evaluate the reliability of a peer in P2P. In order to obtain the correlated computing results of trust and reputation, we first define four criteria of evaluation according to the preferences of peers in P2P. Then a transitive probability matrix of Markov chain is constructed based on the evaluation criteria. Moreover, corresponding to the above criteria, four calculating types are proposed to obtain elements results of the matrix, which predicts possible future behaviors of the peers. Different with traditional linear sum correlating method, the Markov-based computing model estimates an evaluated peer´s reliability based on these peers´ behaviors that is more suitable for real P2P network environment