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A Reputation Aggregation Method Considering File Request Distribution and Peer Behavior in Unstructured P2P Networks

机译:非结构化P2P网络中考虑文件请求分布和对等行为的信誉聚合方法

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In order to establish secure file-sharing in unstructured peer-to-peer networks, reputation aggregation methods are now focused on. In these methods, each peer calculates reputation values which denote the reliability and safety of peers participating in P2P networks. When peers exchange files, they can avoid transacting with the malicious peers by reference to reputation values. Reputation aggregation methods, however, have a problem that file requests concentrate on partial peers with high reputation values. In the existing method, file requests are distributed by making partial peers whose reputation values are high to some extent more likely to be selected temporarily. Although, there are tactical malicious peers providing not only inauthentic but also authentic files in each transaction. And the existing method do not consider the problem that the malicious peers can spread more inauthentic files by providing authentic files intentionally and acquiring high reputation value by the system. Thus in this paper, we propose a reputation aggregation method which decreases the probability of selecting the malicious peers by considering reputation value. Furthermore, the method considers trade-off between the safety of file-sharing and the distribution of file requests. The results of computer simulation demonstrate the distribution of file requests and the advancement of transaction success rate.
机译:为了在非结构化对等网络中建立安全的文件共享,现在着重于信誉聚集方法。在这些方法中,每个对等方都会计算信誉值,该信誉值表示参与P2P网络的对等方的可靠性和安全性。当对等方交换文件时,他们可以避免通过引用信誉值来与恶意对等方进行交易。但是,信誉聚合方法存在一个问题,即文件请求集中在信誉值较高的部分对等方。在现有方法中,通过使信誉值在某种程度上较高的部分对等体更可能被临时选择来分发文件请求。虽然,战术上的恶意对等方在每个事务中不仅提供不真实的信息,而且还提供真实的文件。现有方法没有考虑到恶意对等体通过故意提供真实文件并获得系统较高的信誉值而传播更多不真实文件的问题。因此,在本文中,我们提出了一种信誉聚合方法,该方法通过考虑信誉值来降低选择恶意对等方的可能性。此外,该方法考虑了文件共享的安全性和文件请求的分发之间的折衷。计算机仿真结果表明文件请求的分布和事务成功率的提高。

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