Sources and Monitors: A Trust Model for Peer-to-Peer Networks

Yan Li, M. Gouda
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引用次数: 4

Abstract

In this paper, we introduce an objective model of trust in peer-to-peer networks. Based on this model, we develop protocols that can be used by the peers in a peer-to-peer network to compute the trust values of other peers in these networks. According to our model, the trust value of a peer is the probability that this peer sends correct messages to other peers, provided that this probability is at least 0.6. (A peer whose probability of sending correct messages is less than 0.6 is regarded as a bad peer that cannot be trusted by other peers in the network.) Each peer actively monitors several good peers in the network and accurately estimates the trust values of each of them. The peers then exchange messages about the trust values of the good peers that they have monitored, and each of them ends up accurately computing the trust values of many good peers in the network, even though many of the exchanged messages are arbitrarily wrong. Through analysis and simulation, we show that a peer in a network can compute the trust values of about 100 good peers in the network, while keeping the error in computing these trust values below 10-4.
源和监视器:点对点网络的信任模型
本文引入了点对点网络中信任的客观模型。在此模型的基础上,我们开发了对等网络中的对等体可以使用的协议来计算这些网络中其他对等体的信任值。根据我们的模型,一个对等体的信任值是这个对等体向其他对等体发送正确消息的概率,前提是这个概率至少为0.6。(发送正确消息的概率小于0.6的对等体被认为是坏对等体,不能被网络中其他对等体信任。)每个对等体主动监控网络中几个良好的对等体,并准确估计每个对等体的信任值。然后,这些对等体交换关于它们所监视的良好对等体的信任值的消息,每个对等体最终都准确地计算出网络中许多良好对等体的信任值,即使许多交换的消息是任意错误的。通过分析和仿真,我们证明了网络中的一个对等体可以计算出网络中大约100个良好对等体的信任值,同时将这些信任值的计算误差控制在10-4以下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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