Bio-inspired trust management in distributed systems — A critical review

M. Firdhous, S. Hassan, O. Ghazali, M. Mahmuddin
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Abstract

Distributed computing has grown rapidly in the recent years. In addition to the increase in the size of individual networks, new types of networks have also emerged providing different types of services to clients. While these systems provide an invaluable service, they also face certain practical issues. Security is one of the most important issues, that must be dealt with by the implementers in order to provide a satisfactory service. Trust and trust management have been drawing the attention of security researchers in order to identify the malicious nodes and separate them from good benevolent nodes and also to quantify the quality of services provided by the nodes in a system. Several trust computing models have been proposed for distributed systems by various researchers. These models are based on different approaches from fuzzy logic, Bayesian model, social networking to bio-inspired mechanisms. In this paper, the authors take a critical look at the bio-inspired trust models reported in the literature with respect to their principles, advantages and disadvantages.
分布式系统中受生物启发的信任管理
分布式计算近年来发展迅速。除了个别网络的规模增加外,还出现了新型网络,为客户提供不同类型的服务。虽然这些系统提供了宝贵的服务,但它们也面临着一些实际问题。安全性是最重要的问题之一,为了提供令人满意的服务,实现者必须处理它。信任和信任管理已经引起了安全研究人员的关注,以便识别恶意节点并将其与良好的善意节点区分开来,并量化系统中节点提供的服务质量。不同的研究者针对分布式系统提出了几种信任计算模型。这些模型基于不同的方法,从模糊逻辑、贝叶斯模型、社会网络到仿生机制。在本文中,作者对文献中报道的生物启发信任模型的原理,优点和缺点进行了批判性的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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