分布式系统基于声誉的综合信任模型

Ayman Tajeddine, A. Kayssi, A. Chehab, H. Artail
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引用次数: 29

摘要

在本文中,我们提出了一个通用的、全面的基于信誉的分布式计算信任模型。提出的模型是对我们之前的模型TRUMMAR的改进,旨在实现一个真正独特的模型,该模型包含了确定基于信任的决策所必需的大多数概念。信任模型所基于的概念包括声誉值、直接经验、对主持人提供推荐的可信度的信任、基于动态衰减因子的信息随时间衰减、第一印象、相似性、受欢迎程度、活动、主持人之间的合作,以及主持人系统的层次结构。通过仿真验证了该模型的正确性和对不同环境和情况的适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive reputation-based trust model for distributed systems
In this paper, we present a general and comprehensive reputation-based trust model for distributed computing. The proposed model is an enhancement over our previous model, TRUMMAR, and aims at achieving a truly unique model that incorporates most concepts that are essential to determining trust-based decisions. Among the concepts upon which the trust model is based are reputation values, direct experiences, trust in the credibility of a host to give recommendations, decay of information with time based on a dynamic decay factor, first impressions, similarity, popularity, activity, cooperation between hosts, in addition to a hierarchy of host systems. The simulations performed on this model confirm its correctness and its adaptability to different environments and situations.
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