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首页> 外文期刊>Applied Soft Computing >Gen Trust: A genetic trust management model for peer-to-peer systems
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Gen Trust: A genetic trust management model for peer-to-peer systems

机译：Gen Trust：对等系统的遗传信任管理模型

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In recent years, peer-to-peer systems have attracted significant interest by offering diverse and easily accessible sharing environments to users. However, this flexibility of P2P systems introduces security vulnerabilities. Peers often interact with unknown or unfamiliar peers and become vulnerable to a wide variety of attacks. Therefore, having a robust trust management model is critical for such open environments in order to exclude unreliable peers from the system. In this study, a new trust model for peer-to-peer networks called GenTrust is proposed. GenTrust has evolved by using genetic programming. In this model, a peer calculates the trustworthiness of another peer based on the features extracted from past interactions and the recommendations. Since the proposed model does not rely on any central authority or global trust values, it suits the decentralized nature of P2P networks. Moreover, the experimental results show that the model is very effective against various attackers, namely individual, collaborative, and pseudospoofing attackers. An analysis on features is also carried out in order to explore their effects on the results. This is the first study which investigates the use of genetic programming on trust management. (C) 2015 Elsevier B.V. All rights reserved.
机译：近年来，点对点系统通过为用户提供各种易于访问的共享环境而引起了极大的兴趣。但是，P2P系统的这种灵活性引入了安全漏洞。对等方经常与未知或不熟悉的对等方进行交互，并容易受到各种各样的攻击。因此，具有健壮的信任管理模型对于此类开放环境至关重要，以便从系统中排除不可靠的对等方。在这项研究中，提出了一种新的对等网络信任模型GenTrust。 GenTrust已通过使用遗传编程得到发展。在此模型中，一个对等方根据从过去的交互和建议中提取的功能来计算另一个对等方的可信度。由于建议的模型不依赖任何中央机构或全球信任值，因此它适合P2P网络的分散性质。此外，实验结果表明，该模型对各种攻击者（即个人，协作和伪欺骗的攻击者）非常有效。为了分析特征对结果的影响，还对特征进行了分析。这是第一个研究遗传程序设计在信任管理上的使用的研究。 （C）2015 Elsevier B.V.保留所有权利。

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