Performance analysis of AODV routing protocol in MANET under the influence of routing attacks

Performance analysis of AODV routing protocol in MANET under the influence of routing attacks
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MANET中AODV路由协议在路由攻击影响下的性能分析

DOI:
10.1109/eitech.2016.7519658
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发表时间:
2016
期刊:
2016 International Conference on Electrical and Information Technologies (ICEIT)
影响因子:
--
通讯作者:
Benachir El hadadi
Benachir El hadadi
中科院分区:
--
文献类型:
--
作者:
H. Moudni;M. Er;H. Mouncif;Benachir El hadadi

文献摘要

被引文献

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近年来,人们对移动自组网(manet)进行了大量研究。该网络是无基础设施的网络,节点之间无需任何集中管理就可以相互通信。不幸的是,这个特性使网络容易受到各种类型的攻击。因此,如何在路由协议中找到合适的补救措施来调和攻击是摆在研究人员面前的一项具有挑战性的任务。本文利用NS-2网络模拟器模拟了AODV路由协议中存在的威胁——黑洞攻击、洪水攻击和快速攻击,分析了它们对AODV路由协议的影响。以往的研究只考虑一个攻击者或只考虑网络规模或移动性来测试其性能分析,而在本次安全分析中,我们考虑了网络规模、移动性、流量负载以及攻击者的数量。我们使用数据包传送率、端到端平均延迟和吞吐量作为性能评估指标。我们的仿真结果表明,黑洞攻击对网络性能有严重的影响,而洪水攻击和匆忙攻击对网络性能的影响较小。
In the recent years, lots of research are going on in the area of Mobile Ad hoc NETworks (MANETs). This network is infrastructure-less network where nodes communicate with each other without any aid of centralized administration. Unfortunately, this feature causes the network vulnerable to various types of attacks. Hence, it is a challenging task in front of researcher to find out the suitable remedy to conciliate attacks in routing protocols. In this paper, we simulate black hole, flooding and rushing attacks which are threats in Ad hoc On-demand Distance Vector (AODV) routing protocol to analyze their impacts on this protocol using NS-2 network simulator. Previous researches take only one attacker or just the network size or the mobility to test their performance analysis, however, in this security analysis, we take into consideration the network size, the mobility, the traffic load and finally the number of the attackers. We use packet delivery ratio, average end-to-end delay and throughput as performance evaluation metric. Our simulation results show that the black hole attack have a severe impact on the network performance while the flooding and rushing attacks have less significant effect on the network performance.