TEREC: Trust Evaluation and Reputation Exchange for Cooperative Intrusion Detection in MANETs

P. Ebinger, N. Bißmeyer
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引用次数: 22

Abstract

Mobile ad hoc networks (MANETs) are particularly vulnerable to attacks from malicious nodes as the reliability of all communication and data exchange on the network depends on collaboration of participating network nodes.In order to strengthen overall mobile network security and avoid attack, malicious nodes should be detected and appropriate measures taken, e.g. exclusion from network communications.In order to effectively identify malicious nodes we propose a system for Trust Evaluation and Reputation Exchange for Cooperative intrusion detection in MANETs (TEREC). Each node should monitor its directly connected neighbour nodes and resulting measurements and trust information should be gathered and exchanged cooperatively between all network nodes. These measurements when combined with information from other nodes can construct a node reputation value representing the trustworthiness of a specific network node.We propose to split reputation information into two values:trust and confidence. This allows each node to successively determine the reliability of other nodes without the need or reliance on a static, pre-established trust infrastructure (e.g.digital certificates) which requires significant overhead and can not be recovered once compromised.TEREC is evaluated via simulation and its performance measured in the presence of an increasing amount of malicious nodes. Evaluation results show that a benign majority of nodes prevail over malicious attacking nodes as they are able to accurately classify network nodes based on reputation estimations.
基于信任评估和信誉交换的manet协同入侵检测
由于网络上所有通信和数据交换的可靠性依赖于参与网络节点的协作,移动自组网(manet)特别容易受到恶意节点的攻击。为了加强移动网络的整体安全,避免攻击,需要检测出恶意节点,并采取适当的措施,例如将其排除在网络通信之外。为了有效识别恶意节点,提出了一种基于信任评估和信誉交换的manet协同入侵检测系统(TEREC)。每个节点都应该监控与它直接相连的邻居节点,并在所有网络节点之间协作地收集和交换测量结果和信任信息。当这些测量与来自其他节点的信息相结合时,可以构建一个代表特定网络节点可信度的节点声誉值。我们建议将声誉信息分解为两个值:信任和信心。这允许每个节点依次确定其他节点的可靠性,而不需要或依赖于静态的、预先建立的信任基础设施(例如数字证书),这需要大量的开销,并且一旦受到损害就无法恢复。通过仿真对TEREC进行评估,并在存在越来越多的恶意节点的情况下测量其性能。评估结果表明,大多数良性节点优于恶意攻击节点,因为它们能够基于声誉估计对网络节点进行准确分类。
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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