WANI: Wormhole avoidance using neighbor information

Sepide Eidie, B. Akbari, Pedram Poshtiban
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引用次数: 6

Abstract

Ad-hoc Networks due to their non-infrastructure nature exposure to several attacks. One of the most important attacks is Wormhole which is the subset of Dos. In Wormhole two or more attacker nodes cooperate with each other to make a misunderstanding topology for other nodes and appeal most of packets. Then the attackers can control all packets that have passed through them and compromise the security of packets by changing or dropping them. This attack can be more dangerous in networks which use on demand protocols such as DSR or AODV. In this paper, we introduce a new and efficient method to detect malicious nodes and prevent this type of attacks in ad-hoc networks which uses AODV. We use neighbors' information to detect malicious nodes and prevent them. Almost all previous methods need extra hardware or moving vital information which can be more dangerous. Also most of them can only detect In-band attacks and don't have any solution for Out-band attacks. Our method without any change to algorithms and any need to any hardware, can detect both In-band and Out-band attacks. Also it is very easy to implement. The simulation results show our method can achieve both high detection rate and accuracy.
使用邻居信息避免虫洞
Ad-hoc网络由于其非基础设施性质而暴露于几种攻击。最重要的攻击之一是虫洞,它是Dos的子集。在虫洞中,两个或多个攻击节点相互合作,为其他节点制造误解拓扑,并吸引大部分数据包。然后,攻击者可以控制所有经过他们的数据包,并通过更改或丢弃数据包来破坏数据包的安全性。在使用按需协议(如DSR或AODV)的网络中,这种攻击可能更加危险。本文提出了一种新的、有效的基于AODV的ad-hoc网络恶意节点检测方法。我们利用邻居的信息来检测和阻止恶意节点。几乎所有以前的方法都需要额外的硬件或移动重要信息,这可能更危险。此外,大多数检测工具只能检测带内攻击,对带外攻击没有解决方案。我们的方法在不改变算法和不需要任何硬件的情况下,可以检测带内和带外攻击。它也很容易实现。仿真结果表明,该方法具有较高的检测率和准确率。
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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