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A New Trust Propagation and Aggregation Method for P2P Networks

机译:P2P网络中一种新的信任传播和聚合方法

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摘要

In P2P networks, people use trust value to decide whether to interact with the peer, higher trust value means better resource, especially for the indirect interaction peers. There are many methods to calculate trust of peer who has direct interaction, but there are few methods for indirect interaction peers. Each peer in P2P networks can be not only the resource provider, but also the resource user, Based on the characteristics of peer interactions, this paper presents a new method called Max-aggregation, which calculates peer's reputation through the view of multidimensional and multiattribute, and get the indirect reputation using trust propagation and aggregation in the web of trust (WOT), the complete probability formula is applied to get the predictive trust value. Compared with other algorithms such as Max-mean, Tidal Trust, Max-min, this algorithm reflects the willingness of a peer towards the other peers better, evaluate the peers more comprehensive, and the experimental results demonstrate the accuracy of the proposed method.
机译:在P2P网络中,人们使用信任值来决定是否与对等方交互,较高的信任值意味着更好的资源,尤其是对于间接交互对等方。计算具有直接交互的对等方的信任的方法有很多,但是用于间接交互对等方的方法很少。 P2P网络中的每个对等体不仅可以作为资源提供者,而且可以作为资源用户。根据对等体交互的特点,提出了一种名为Max-aggregation的新方法,该方法可以从多维和多属性的角度计算对等体的信誉,并通过在信任网(WOT)中使用信任传播和聚合来获得间接信誉,使用完整的概率公式来获得预测信任值。与Max-mean,Tidal Trust,Max-min等其他算法相比,该算法更好地反映了同伴对其他同伴的意愿,对同伴进行了更全面的评估,实验结果证明了该方法的准确性。

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