Defending MANETs against flooding attacks for military applications under group mobility

Taranpreet Kaur, A. Toor, K. Saluja
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引用次数: 15

Abstract

MANET is an assembly of mobile nodes having the capability of configure any momentarily network without the assistance of any established infrastructure or centralized supervision. Due to the self-arrangement and self maintenance abilities, MANETs become highly vulnerable to various kinds of attacks. So, Security challenges have become a key concern to provide secure communication between mobile nodes. Flooding attack is one of the security threat in which the intruder will overload the network with worthless packets to misuse the bandwidth and resources of the network. In this paper a clustering behavior based reputation mechanism is proposed to identify the flooding malicious nodes in military battlefield network. As in battlefield situation, mainly Group Mobility model is followed, so grouping of nodes in clusters have various advantages. Reputation (assessment of its behavior in the network) of a node is calculated at cluster heads. This strategy has double nature, hence it efficiently fix the false detection of genuine nodes as malicious ones. Strategy is simulated in NS2. Performance of new scheme is compared with AODV protocol based on various performance metrics it is noticed that proposed strategy has better performance in terms of various metrics.
在群体移动的军事应用中,防御manet免受洪水攻击
MANET是一个移动节点的集合,具有配置任何即时网络的能力,而无需任何已建立的基础设施或集中监督的帮助。由于自部署和自维护能力,manet极易受到各种攻击。因此,在移动节点之间提供安全通信的安全性挑战已成为一个关键问题。泛洪攻击是一种安全威胁,攻击者利用无价值的数据包使网络过载,从而滥用网络的带宽和资源。本文提出了一种基于聚类行为的信誉机制来识别军事战场网络中泛滥的恶意节点。在战场情况下,主要遵循群体机动模型,因此集群中的节点分组具有多种优势。一个节点的声誉(对其在网络中的行为的评估)是在簇头计算的。该策略具有双重性质,因此可以有效地将真实节点的错误检测修复为恶意节点。策略在NS2中进行模拟。基于各种性能指标对新方案与AODV协议的性能进行了比较,发现新方案在各种指标上都具有更好的性能。
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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