Economic-inspired truthful reputation feedback mechanism in P2P networks

Yufeng Wang, Yoshiaki Hori, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Recently, cross-disciplinary efforts involving economics and computer security have proliferated. And Peer-to-Peer (P2P) reputation systems are essential to evaluate the trustworthiness of participating peers and to combat the selfish, dishonest and malicious behaviors of peers. But reputation feedback is special kind of information, and it is not free. Based on those above consideration, in this paper, VCG (Vickery-Clarke-Groves)-like reputation remuneration scheme inspired by economic model is proposed to stimulate rational peers not only to provide reputation feedback, but truthfully offer feedback.

Original languageEnglish
Title of host publicationProceedings - FTDCS 2007
Subtitle of host publication11th IEEE International Workshop on Future Trends of Distributed Computing Systems
Pages80-85
Number of pages6
DOIs
Publication statusPublished - Aug 2 2007
EventFTDCS 2007: 11th IEEE International Workshop on Future Trends of Distributed Computing Systems - Sedona, AZ, United States
Duration: Mar 21 2007Mar 23 2007

Publication series

NameProceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems

Other

OtherFTDCS 2007: 11th IEEE International Workshop on Future Trends of Distributed Computing Systems
CountryUnited States
CitySedona, AZ
Period3/21/073/23/07

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science(all)

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    Wang, Y., Hori, Y., & Sakurai, K. (2007). Economic-inspired truthful reputation feedback mechanism in P2P networks. In Proceedings - FTDCS 2007: 11th IEEE International Workshop on Future Trends of Distributed Computing Systems (pp. 80-85). [4144617] (Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems). https://doi.org/10.1109/FTDCS.2007.19