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The EigenTrust Algorithm for Reputation Management in
| Citations: | 301 - 2 self |
BibTeX
@MISC{Kamvar_theeigentrust,
author = {Networks Sepandar Kamvar and Sepandar D. Kamvar},
title = {The EigenTrust Algorithm for Reputation Management in},
year = {}
}
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Abstract
Peer-to-peer file-sharing networks are currently receiving much attention as a means of sharing and distributing information. However, as recent experience with P2P networks such as Gnutella 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.
Keyphrases
eigentrust algorithm reputation management global trust value peer-to-peer file-sharing network self-replicating inauthentic file malicious peer unique global trust value recent experience much attention inauthentic file power iteration secure method p2p network ideal environment open nature gnutella show
