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A Sybil-Resilient Reputation Metric for P2P Applications

Authors: Tien Tuan Anh Dinh; Mark Ryan 0001;

A Sybil-Resilient Reputation Metric for P2P Applications

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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