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arXiv 1601.01419cs.NIcs.CR
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绝对信任:P2P网络中的信任聚合算法

Absolute Trust: Algorithm for Aggregation of Trust in Peer-to- Peer Networks

Sateesh Kumar Awasthi, Yatindra Nath Singh

摘要:

为了减轻恶意节点的攻击,激励节点共享对等网络中的资源,过去已经提出了一些信誉系统。在大多数情况下,节点根据过去的交互来评估其他节点,然后在整个网络中聚合这些信息。然而,这种汇总过程需要近似值,以便在某种全球共识上收敛。它可能不是同龄人过去行为的真实反映。此外,这种类型的聚合仅给出对等体的相对排名,而没有对其过去的任何绝对评估。当响应查询的所有对等体都是恶意的时,这一点更加重要。在这种情况下,我们只能知道他们中谁更好,而不知道他们在整个网络中的排名。在本文中,我们提出了一个新的算法,占过去的行为的同行,并估计绝对值的信任同行。因此,我们可以适当地将它们识别为好的对等点或恶意对等点。通过选择合适的参数,我们的算法可以更快地收敛到全局一致性。由于它的绝对性,它将平等地加载网络中的所有对等体。它还将减少网络中的不真实下载,这在现有算法中是不可能的。

英文摘要:

To mitigate the attacks by malicious peers and to motivate the peers to share the resources in peer-to-peer networks, several reputation systems have been proposed in the past. In most of them, the peers evaluate other peers based on their past interactions and then aggregate this information in the whole network. However such an aggregation process requires approximations in order to converge at some global consensus. It may not be the true reflection of past behavior of the peers. Moreover such type of aggregation gives only the relative ranking of peers without any absolute evaluation of their past. This is more significant when all the peers responding to a query, are malicious. In such a situation, we can only know that who is better among them without knowing their rank in the whole network. In this paper, we are proposing a new algorithm which accounts for the past behavior of the peers and will estimate the absolute value of the trust of peers. Consequently, we can suitably identify them as a good peers or malicious peers. Our algorithm converges at some global consensus much faster by choosing suitable parameters. Because of its absolute nature it will equally load all the peers in network. It will also reduce the inauthentic download in the network which was not possible in existing algorithms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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