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An adaptive group-based reputation system in peer-to-peer networks

  • Liang Sun*
  • , Li Jiao
  • , Yufeng Wang
  • , Shiduan Cheng
  • , Wendong Wang
  • *Corresponding author for this work
  • Beijing University of Posts and Telecommunications
  • Nanjing University of Posts and Telecommunications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As more and more P2P applications being popular in Internet, one of important problem to be solved is inspiring users to cooperate each other actively and honestly, the reputation mechanism which is a hot spot for P2P research has been proposed to conquer it. Because of the characters of virtuality and anonymous in the network, it is very easy for users with bad reputations to reenter the system with new identities to regain new reputations in the reputation systems. In order to get rid of the impact of whitewashers and improve the system performance and efficiency, we propose a new probability-based adaptive initial reputation mechanism. In this new mechanism, newcomers will be trusted based on system's trust-probability which can be adjusted according to the actions of the newcomers. To avoid the system fluctuating for actions of a few whitewashers, we realize the new reputation mechanism in system with group-based architecture, which can localize the impact of whitewashers in their own groups. Both performance analysis and simulation show that this new adaptive reputation mechanism is more effective.

Original languageEnglish
Title of host publicationInternet and Network Economics - First International Workshop, WINE 2005, Proceedings
PublisherSpringer Verlag
Pages651-659
Number of pages9
ISBN (Print)3540309004, 9783540309000
DOIs
StatePublished - 2005
Externally publishedYes
Event1st International Workshop on Internet and Network Economics, WINE 2005 - Hong Kong, China
Duration: 15 Dec 200517 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3828 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Internet and Network Economics, WINE 2005
Country/TerritoryChina
CityHong Kong
Period15/12/0517/12/05

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