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A P2P recommended trust nodes selection algorithm based on topological potential

机译:基于拓扑势的P2P推荐信任节点选择算法

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摘要

Due to their open, distribution and anonymous nature, P2P systems are extremely susceptible to malicious users spreading harmful content. It is important to develop effective and efficient reputation based global trust model. This paper proposes a topological potential method derived from social network analysis to measure the recommendation degree of the recommended trust nodes by taken into account both the status and reputation. Having considered the reputation for each node and trust measurement between them, the method could appraise the integrated recommendation degree of P2P recommended trust nodes objectively. Thus, the goal to create the trust model is achieved by the help of selecting trust nodes effectively.
机译:由于其开放,分发和匿名性质,P2P系统极易受到恶意用户传播有害内容的攻击。重要的是要开发有效,高效的基于信誉的全球信任模型。本文提出了一种基于社交网络分析的拓扑潜在方法,通过同时考虑状态和声誉来衡量推荐信任节点的推荐程度。在考虑了每个节点的信誉和它们之间的信任度之后,该方法可以客观地评估P2P推荐信任节点的综合推荐度。因此,通过有效地选择信任节点来实现创建信任模型的目标。

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