点对点电子商务中客户对客户的层次模糊信任管理

Huaiqing Lin, Zhitang Li, Yejiang Zhang, Chuiwei Lu
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引用次数: 4

摘要

点对点(P2P)电子商务通常被认为是一个既提供机会又提供威胁的环境。为了使同伴有效,他们需要一些机制来管理这种失败的风险。在这样一个开放的环境中,最小化威胁的一种方法是利用声誉来帮助评估什么是可信的,并预测同伴的未来行为。在本研究中,确定了一组参数来描述同伴的信任,并基于这些因素之间的一系列基础关系提出了一个框架。仿真结果表明,该信任模型通过显著减少网络上恶意行为的数量,提高了P2P电子商务系统的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Fuzzy Trust Management for Customer-to-Customer in Peer-to-Peer eCommerce
Peer-to-peer (P2P) eCommerce are commonly perceived as an environment offering both opportunities and threats. For peers to be effective they need some mechanism for managing this risk of failure. One way to minimize threats in such an open environment is to exploit reputation to help evaluate the trustworthiness of what and predict the future behaviors of peers. In this study, a set of parameters were identified for describing the trust of a peer and proposes a framework based on a series of underpinning relationships among these factors. In simulation, this trust model has been shown to improve the efficiency of P2P eCommerce system by significantly decreasing the amount of malicious behavior on the network.
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