Recommendation Trust for Improved Malicious Node Detection in Ad Hoc Networks

Saneeha Ahmed, K. Tepe
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引用次数: 8

Abstract

In this paper, a trust model is proposed to assess credibility of recommendations in vehicular ad hoc networks (VANETs). In a VANET, nodes share important information with each other. Often these nodes misbehave by sending incorrect information. In order to identify correct information, nodes often use recommendations from their neighbors. However, malicious neighbors may manipulate their recommendations in order to eliminate honest nodes from the network. The trust model provided in this paper will assist nodes to identify such malicious senders and incorrect recommendations. The performance of networks using the proposed trust model is observed to be superior than the existing trust model as suggested by a true positive rate of 0.996 and a false positive rate of 0.001 when malicious senders show selective or probabilistic misbehavior.
改进Ad Hoc网络中恶意节点检测的推荐信任
本文提出了一种基于信任模型的车辆自组织网络(VANETs)推荐可信度评估模型。在VANET中,节点彼此共享重要信息。这些节点通常会发送错误的信息。为了识别正确的信息,节点通常使用邻居的建议。然而,恶意邻居可能会操纵他们的推荐,以从网络中消除诚实节点。本文提供的信任模型将帮助节点识别这些恶意发送者和错误的建议。当恶意发送者表现出选择性或概率性不当行为时,使用所提出的信任模型的网络性能优于现有的信任模型,其真阳性率为0.996,假阳性率为0.001。
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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