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Fuzzy based intrusion detection for cluster based battlefield MANET

机译:基于集群的战场阵战的基于模糊的入侵检测

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摘要

MANETs are potential wireless network, where mobile nodes are connected dynamically in ad hoc basis. This unique characteristic attracted many promising applications and the one among is battlefield communication. The war troops at the edge of the network do not have any computing infrastructure for communication. Therefore MANET plays a vital role in battlefield communication. Since MANET is openness to eavesdropping, routing of information causes vulnerabilities and degrades the performance of network. This necessitated developing a MANET with a novel intrusion detection system to provide reliability and security to the battlefield communication. This paper proposes a Di-Fuzzy logic technique which provides two phase detection for intrusion detection in the network. It works in a cluster based routing environment to co-ordinate and control the entire network. The selection of cluster head is based on the node with the maximum energy to improve the life time of the network. The proposed technique is simulated in network simulator NS 2.8 and the performance is evaluated by comparing with the existing Fuzzy based IDS (F-IDS) & intrusion detection and adaptive response (IDAR) system. From comparison the proposed Di-Fuzzy logic technique improves its performance in all metrics and thus provides a safe environment for battlefield communication.
机译:船只是潜在的无线网络,其中移动节点在临时基础上动态连接。这种独特的特点吸引了许多有希望的应用程序,并且是战场通信中的一个。网络边缘的战争部队没有任何用于通信的计算基础设施。因此Manet在战场通信中发挥着重要作用。由于Manet是窃听的开放性,信息路由导致漏洞并降低网络的性能。这需要开发一种具有新型入侵检测系统的船员,以为战场通信提供可靠性和安全性。本文提出了一种二模糊逻辑技术,为网络中的入侵检测提供了两个相位检测。它在基于群集的路由环境中用于协调和控制整个网络。群集头的选择基于具有最大能量的节点来改善网络的寿命。所提出的技术在网络模拟器NS 2.8中模拟,并且通过与现有的基于模糊的ID(F-ID)和入侵检测和自适应响应(IDAR)系统进行比较来评估性能。根据比较,所提出的Di-Fuzzy逻辑技术可以提高所有度量的性能,从而为战场通信提供安全的环境。

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