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Implementation of a trust model over AODV in a wireless ad hoc testbed

机译:在无线临时测试用AODV中实现信任模型

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We have customized Ad hoc On demand Distance Vector (AODV) protocol and augmented security aspect in real time scenario using numeric step values called Trust assigned to finite number of neighbor nodes to evaluate network behavior, subsequently secure the network by barricading the network from malicious nodes in Blackhole and flooding attack modes. Experiments were carried out using a custom-made testbed built on wxPython that supports various characteristics of nodes like variable data rates, node positions and malicious behavior for testing and display results in a graphical format. The results have favored aforementioned proposal showing a 70% increase in throughput obtained from trust implemented experimentation as compared to standard one without the trust parameter. The overhead in trusted scenario encountered was minimal despite the end to end delay of packets being higher than the traditional AODV by 30 msec. Hence, we have concluded that our method of using trust has resulted in a secured reactive protocol with applications suited for wireless attack prone environment when applied to a network consisting of four nodes. Our work is also the first ever implementation of a trust model over an adhoc routing protocol in a real adhoc testbed.
机译:我们在需求距离矢量(AODV)协议上定制了Ad Hoc,并在实时方案中使用数值方案的增强安全方面使用命名为有限数量的邻居节点来评估网络行为,随后通过从恶意节点中偏移网络来保护网络在黑洞和洪水攻击模式中。使用基于WxPython的定制测试平台进行了实验,该试验台支持了像变量数据速率,节点位置和用于测试和显示的恶意行为的节点的各种特征,以以图形格式为导致的。结果有利于上述提案,显示从信托实施的实验中获得的吞吐量增加70%,而没有信任参数。遇到的信任方案中的开销是最小的,尽管数据包的最终延迟高于传统的AODV到30毫秒,但仍然很少。因此,我们得出的结论是,当应用于由四个节点组成的网络时,我们使用信任方法具有适用于无线攻击的应用程序的安全性反应协议。我们的作品也是在真正的Adhoc测试用adhoc路由协议上首次实施信任模型。

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