document: The Eigentrust algorithm for reputation management in P2P networks Peer-to-peer file-sharing networks are currently receiving much attention as a means of sharing and distributing information . However , as recent experience shows , the anonymous , open nature of these networks offers an almost ideal environment for the spread of self-replicating inauthentic files . We describe an algorithm to decrease the number of downloads of inauthentic files in a peer-to-peer file-sharing network that assigns each peer a unique global trust value , based on the peer 's history of uploads . We present a distributed and secure method to compute global trust values , based on Power iteration . By having peers use these global trust values to choose the peers from whom they download , the network effectively identifies malicious peers and isolates them from the network . In simulations , this reputation system , called EigenTrust , has been shown to significantly decrease the number of inauthentic files on the network , even under a variety of conditions where malicious peers cooperate in an attempt to deliberately subvert the system .
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