信任模型:在P2P网络中提供证人匿名

B. Elangovan, Bharath
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引用次数: 1

摘要

本文考虑了一个对等网络,其中所有的对等节点都具有相同的责任。在点对点网络中,信任问题由于P2P系统的分散性而受到关注,在P2P系统中,自主的对等体彼此交互。声誉系统提供了一种建立信任的方式,通过对同行过去经验的反馈来帮助对交易的质量和可靠性进行推荐和判断。对等体可以对它过去处理过的对等体的可靠性进行评估。现有的信誉机制通过计算正反馈数除以正反馈和负反馈之和的简单信任度量来检测恶意对等体。该系统设计了一种在点对点网络中增强恶意节点检测的信任模型,该模型采用I-SDT (enhanced Secure Deep Throat,强化安全深喉)协议,通过增强的恶意节点检测过程为恶意行为证人提供匿名性。提出了一种改进的基于模糊综合评价模型的特征信任算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust model: Providing witness anonymity in P2P network
In this paper a Peer to peer network is considered where all the peers have equal responsibilities. In a peer to peer network, trust issues have gained focus as a result of the decentralized nature of P2P systems where autonomous peers interact with each other. Reputation systems provide a way for building trust through feedback about past experiences of peers to help making recommendation and judgment on quality and reliability of the transactions. The peer can rate the reliability of those peers with which it has dealt in the past. Existing reputation mechanisms detects malicious peer by simple trust metric like calculating number of positive feedback divided by sum of positive feedback and negative feedback. The proposed system is to design a trust model with intensified malicious node detection in peer-to-peer network in which, I-SDT (Intensified Secure Deep Throat) protocol is used to provide witness anonymity of malicious behaviour with intensified malicious node detection procedure. The detection method proposed is improved — Eigen Trust algorithm based on Fuzzy synthetic evaluation model.
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