For most of P2P file sharing trusted download

the current researches of the evaluation of the trusted peers based on reputation simply rely on the history of interaction and are not paid enough attention on the time factor.The other behaviors like recommendation are also ignored.The attack actions in reputation evaluation were discussed

and the recommender behavior in P2P network was considered separately

which made up for computation based on the interac-tion behavior in computation of reputation.Secondly

for the positive and negative evaluation

different time-decline co-efficient was added in the method to distinguish the malicious node named smart node which acts as a malicious node at times.Simulation experiments show that this proposed method not only increase the good files ratio in P2P download files

but also restrain the collusion in malicious nodes

especially the spy action.