A Trust Model Based on Similarity-Weighted Recommendation for P2P Environments
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In decentralized peer-to-peer file-sharing networks, due to the anonymous and self-organization nature of peers, they have to manage the risk involved with the transactions without prior knowledge about each other’s reputation. SWRTrust, a global trust model, is proposed to quantify and to evaluate the trustworthiness of peers, which includes a mathematical description and a distributed implementation. In SWRTrust, each peer is assigned a unique global trust value, computed by aggregating similarity-weighted recommendations of the peers who have interacted with it. Previous global trust models are based on the assumption that the peers with high trust value will give the honest recommendation. This paper argues that this assumption may not hold in all cases. Theoretical analyses and experimental results show that SWRTrust is still robust under more general conditions where malicious peers cooperate in an attempt to deliberately subvert the system, converges more quickly, and decreases the number of inauthentic files downloaded more effectively than the previous models.

    Reference
    Related
    Cited by
Get Citation

李景涛,荆一楠,肖晓春,王雪平,张根度.基于相似度加权推荐的P2P环境下的信任模型.软件学报,2007,18(1):157-167

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 11,2005
  • Revised:February 23,2006
  • Adopted:
  • Online:
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063