计算机科学 ›› 2010, Vol. 37 ›› Issue (2): 212-215.

• 人工智能 • 上一篇    下一篇

对等网络中一种基于概率的信任机制研究

王平,邱劲,邱玉辉   

  1. (西南大学计算机与信息科学学院 重庆400715)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受973国家重点基金项目(2003CB31708)资助。

Trust Computing Based on Probability Theory in Unstructured P2P Network

WANG Ping,QIU Jing,QIU Yu-hui   

  • Online:2018-12-01 Published:2018-12-01

摘要: P2P网络由于其开放性和自治性,充斥着大量的不确定性因素。为了提高网络的整体可用性和服务质量,提出了一种基于P2P技术的信任机制,该机制使用beta概率分布来佑价结点的信任,同时使用Gossip算法来传递聚集信誉。模拟实验表明,时间关联因子以及Gossip搜索机制的引入,能更有效地估价结点间的信任关系,减少网络拥塞,提高查询效率。

关键词: 非结构化对等网络,Gossip算法,beta概率分布,信任,信誉

Abstract: Trust plays an important role in determining who and how to interact in open and dynamic P2P network. To this end,a trust mechanism for unstructured P2P network was proposed in which peers evaluate the trust based on beta probability distribution and aggregate the reputation with Gossip algorithm. I}he experimental data shows that our way can autonomously deal with the biased information and identify trust belief with low overhead and better efficiency.

Key words: Unstructured P2P networks, Gossip algorithm, Beta probability distribution, Trust, Reputation

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