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Trust Model Based on Similarity Measure of Vectors in P2P Networks

机译:P2P网络中基于向量相似度的信任模型

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摘要

For the rationality and selfishness of peers, the traditional security schemes can hardly solve the fake services providing and free-ridings in P2P networks. The trust model based on reputation can restrain the malicious behaviors, and avoid malicious peers abusing of resources. However, it suffers much from dishonest feedbacks and strategically altering behaviors of malicious peers. Recurring to the trust model of society network, a trust model based on similarity measure of vectors and a distributed implementation scheme based on R-Chain are proposed. In this model, "time-sensitive factor" has improved the sensitiveness of detecting peers' behaviors, "service-type factor" and recommendation trust based on similarity measure of vectors have prevented collusion and bad-mouthing among peers. Consequently, theoretic analysis and simulation show that this model is effective and has favorable feasibility of implementation.
机译:由于对等方的合理性和自私性,传统的安全方案很难解决P2P网络中的虚假服务提供和搭便车问题。基于信誉的信任模型可以抑制恶意行为,避免恶意对端滥用资源。但是,它遭受了不诚实的反馈和策略性地改变了恶意同伴的行为。借鉴社会网络的信任模型,提出了一种基于向量相似性度量的信任模型和一种基于R链的分布式实现方案。在该模型中,“时间敏感因素”提高了检测对等方行为的敏感性,“服务类型因素”和基于向量相似性度量的推荐信任防止了对等方之间的串通和不良行为。因此,理论分析和仿真表明该模型是有效的,具有良好的实施可行性。

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