A novel trust model based on bayes statistics

Haimei Xu, Yu-Lin Liu, Ting Li, Han Yang, L. Wang
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引用次数: 2

Abstract

Based on Bayesian statistics, this paper presents a novel P2P trust model BTtrust. The history records of transaction and prior beliefs are used to derive the global trust value of every node. Every node trades with peers with high trust values. Mathematical analysis and simulation results show BTtrust can resist attacks of malicious peers and improve the successful download rate of the whole P2P system.
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基于贝叶斯统计的新型信任模型
基于贝叶斯统计,提出了一种新的P2P信任模型BTtrust。利用交易历史记录和先验信念,推导出每个节点的全局信任值。每个节点都与具有高信任值的对等节点进行交易。数学分析和仿真结果表明,BTtrust可以抵御恶意对等体的攻击,提高整个P2P系统的下载成功率。
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