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Cognitive radio ad-hoc networks: Attacks and its impact

机译:认知无线电ad-hoc网络:攻击及其影响

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In the current scenario Cognitive Radio (CR) is the best available solution to overcome spectrum shortage problem. Cognitive Radio Ad Hoc Networks (CRAHNs) is the use of CR technology in the wireless ad-hoc network scenario. The field of CRAHNs is still in this nascent stage therefore not much work has been done related to security issues associated with these types of networks. In order to provide secure data transmission over these networks it is mandatory to make these networks robust and less vulnerable against the various types of attacks. Through this report we have presented an implementation and simulation study of Network Layer Attacks primarily Black Hole Attack and Gray Hole Attack in detail with their impacts on the various network parameters. The Black Hole Attack is a type of Denial of Service(DoS) attack where the node that has turned malicious advertises itself as the most optimal path to reach the destination, thus drawing all the traffic towards itself and later either it drops all the received packets or prevent them from reaching their destinations. The Gray Hole Attack is a variation of black hole attack in which selective forwarding principles are used to selectively drop some data and to forward the rest. In this Project using NS2 with the CRAHN extension as the simulator, effect of these attacks on the various network parameters of CRAHNs have been recorded and compared to present an oversight of how performance is affected whenever the network gets injected with these attacks.
机译:在目前的情况下,认知无线电(CR)是克服频谱短缺问题的最佳方法。认知无线电临时网络(Crahns)是在无线ad-hoc网络场景中使用CR技术。 Crahns领域仍处于这个新生阶段,因此没有多少工作与与这些类型的网络相关的安全问题有关。为了提供这些网络上的安全数据传输,必须使这些网络稳健而不易受到各种类型的攻击。通过本报告,我们介绍了对网络层攻击主要是黑洞攻击和灰色孔攻击的实施和仿真研究,并详细介绍了对各种网络参数的影响。黑洞攻击是一种拒绝服务(DOS)攻击的否则,该节点已将恶意宣传为到达目的地的最佳路径,从而绘制其自身的所有流量,稍后将其丢弃所有接收的数据包或阻止他们到达目的地。灰色孔攻击是黑洞攻击的变化,其中选择性转发原理用于选择性地放弃一些数据并转发其余部分。在该项目中使用NS2与CRAHN扩展作为模拟器,这些攻击对Crahns各种网络参数的影响已经记录并进行了比较,以监督随着网络注入这些攻击时性能的影响。

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