Node Trust Assessment in Mobile Ad Hoc Networks Based on Multi-dimensional Fuzzy Decision Making

Zhang Feng, Z. Jia, Li Xin, Xia Hui
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Abstract

Due to the nature of distribution and self-organization, Mobile ad hoc networks rely on cooperation between nodes to transfer information. Therefore, one of the key factors to ensure high communication quality is an efficient assessment scheme for risks and trust of choosing next cooperative potential nodes. Trust model, an abstract psychological cognitive process, is one of the most complex concepts in social relationships, involving factors such as assumptions, expectations and behaviors. All above makes it very difficult to quantify and forecast trust accurately. In this paper, based on the theories of fuzzy recognition, we present a pattern of multi-dimensional fuzzy decision making with feedback. The analysis and experimental computation shows that this scheme is efficient in risk assessment of Ad hoc networks.
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基于多维模糊决策的移动Ad Hoc网络节点信任评估
由于分布和自组织的特性,移动自组织网络依赖于节点间的合作来传递信息。因此,有效的选择下一个合作潜在节点的风险和信任评估方案是保证高通信质量的关键因素之一。信任模型是一个抽象的心理认知过程,是社会关系中最复杂的概念之一,涉及假设、期望和行为等因素。这些都给准确量化和预测信任带来了很大的困难。本文在模糊识别理论的基础上,提出了一种带有反馈的多维模糊决策模式。分析和实验计算表明,该方案对Ad hoc网络的风险评估是有效的。
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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