An EnhanEigen Algorithm Trust Model in P2P Network
EigenTrust is a typical global trust model which presents a distributed and secure method to compute the global trust values for peer to peer network, but it cant judge the authenticity of the evaluation from the requesting service peer. To alleviate the problem, we present an improved algorithm based on EigenTrust trust model, called EnhanEigen. We use malicious percentage (mp) and feedback consistency percentage (fcp) as the new trust evaluation criterion to filter malicious peers. By changing the ways in which peers submit feedbacks and using comprehensive trust value, our trust model can distinguish false feedback to resist to malicious attack. Simulation experiments demonstrate that it has a better performance on ensuring the success rate of transactions and has the shorter algorithm execution time.