A Subjective Trust Management Model Based on AHP for MANETs

Hui Xia, Zhiping Jia, Xin Li, Fengchao Zhang
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引用次数: 7

Abstract

Due to the anonymity, self-organization and multi hops routing of nodes in MANETs (mobile ad hoc networks), a network is lack of the identification of nodes' credibility. As a result, the confidentiality and integrity of information in the dissemination process is vulnerable to attacks by malicious nodes, the interactive quality of overall networks is also easily affected. A subjective trust management model for MANETs (AHPStrust) based on Analytic Hierarchy Process is proposed in this paper, which is used to solve these questions, for example, to quantify and evaluate the trustworthiness of nodes, to enhance the networks' ability of trust management decisions and to reduce the harm of malicious nodes. In this paper, we propose the trust evaluation mechanism with detailed influencing factors, and use AHP to successfully construct a fully trust hierarchical model with corresponding mathematical description and derivation rules. Analysis and simulation results show that our model (AHPStrust) is more effective than the existing model (CFStrust) along with 10% proportion of malicious nodes in the network, the satisfactory interaction rate increases by 5%, the proportion of good recommendation increases by 4%, the correct identification rate of nodes' properties increases by 6%.
基于AHP的主观信任管理模型
由于移动自组网(manet)中节点的匿名性、自组织性和多跳路由特性,导致网络中缺乏对节点可信度的识别。因此,信息在传播过程中的保密性和完整性容易受到恶意节点的攻击,整个网络的交互质量也容易受到影响。本文提出了一种基于层次分析法的manet主观信任管理模型(ahptrust),用于量化和评估节点的可信度,提高网络的信任管理决策能力,减少恶意节点的危害。本文提出了具有详细影响因素的信任评价机制,并利用层次分析法成功构建了具有相应数学描述和推导规则的全信任层次模型。分析和仿真结果表明,在网络中恶意节点占比10%、满意交互率提高5%、良好推荐率提高4%、节点属性正确识别率提高6%的情况下,ahptrust模型比现有模型cftrust更有效。
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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