Name
Abstract | ||
|---|---|---|
We propose a reputation-based trust model for P2P applications and study it in a security framework. This framework makes it easy to reason about the resilience of the reputation metrics against Sybil attacks. We show that using the PageRank reputation metric in a P2P system can make it very vulnerable to Sybil attacks. We then propose a new reputation metric, based on the original PageRank, and show that it is more resilient against such attacks. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/SAINT.2008.52 | SAINT |
Keywords | Field | DocType |
reputation-based trust model,security framework,p2p system,sybil-resilient reputation metric,p2p aplications,new reputation metric,p2p applications,sybil attack,sybil attacks,original pagerank,reputation metrics,pagerank reputation metric,reputation-based trust,peer-to-peer computing,pagerank reputation,security of data,security,clustering algorithms,computational modeling,p2p,negative feedback,mathematical model,protocols | Psychological resilience,PageRank,World Wide Web,Computer security,Computer science,Security framework,Peer to peer computing,Cluster analysis,Reputation | Conference |
ISBN | Citations | PageRank |
978-0-7695-3297-4 | 0 | 0.34 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tien Tuan Anh Dinh | 1 | 212 | 19.13 |
| Mark Ryan | 2 | 913 | 47.87 |