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A P2P recommended trust nodes selection algorithm based on topological potential

机译:基于拓扑潜力的P2P推荐的信任节点选择算法

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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:由于它们的开放,分布和匿名性质,P2P系统非常容易对恶意用户传播有害内容。重要的是要开发有效和高效的全球信任模式。本文提出了一种拓扑潜在方法,来自社会网络分析,通过考虑了建议的信任节点的推荐程度,通过考虑到地位和声誉。考虑到每个节点的声誉和它们之间的信任测量,该方法可以客观地评估P2P推荐信任节点的综合推荐程度。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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