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Design an anomaly based fuzzy intrusion detection system for packet dropping attack in mobile ad hoc networks

机译:设计基于异常的模糊入侵检测系统,用于移动临时网络中的数据包丢弃攻击

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Due to the advancement in communication technologies, mobile ad hoc network increases the ability in terms of ad hoc communication between the mobile nodes. Mobile ad hoc networks do not use any predefined infrastructure during the communication so that all the present mobile nodes which are want to communicate with each other immediately form the topology and initiates the request for data packets to send or receive. In terms of security perspectives, communication via wireless links makes mobile ad hoc networks more vulnerable to attacks because any one can join and move the networks at any time. Particularly, in mobile ad hoc networks one of very common attack is packet dropping attack through the malicious node (s). This paper developed an anomaly based fuzzy intrusion detection system to detect the packet dropping attack from mobile ad hoc networks and this proposed solution also save the resources of mobile nodes in respect to remove the malicious nodes. For implementation point of view, qualnet simulator 6.1 and sugeno-type fuzzy inference system are used to make the fuzzy rule base for analyzing the results. From the simulation results it's proved that proposed system is more capable to detect the packet dropping attack with high positive rate and low false positive under each level (low, medium and high) of speed of mobile nodes.
机译:由于通信技术的进步,移动临时网络在移动节点之间的临时通信方面增加了能力。移动ad hoc网络在通信期间不使用任何预定义的基础架构,使得想要彼此通信的所有本发明的移动节点立即形成拓扑,并启动数据分组的请求以发送或接收。就安全性观点而言,通过无线链路的通信使得移动ad hoc网络更容易攻击,因为任何人都可以随时加入和移动网络。特别是,在移动临时网络中,一个非常常见的攻击之一是通过恶意节点的数据包删除攻击。本文开发了一种基于异常的模糊入侵检测系统,可以检测来自移动临时网络的数据包丢失攻击,并且这一提出的解决方案还可以保存移动节点的资源,以删除恶意节点。对于实现的来看,Qualnet模拟器6.1和Sugeno型模糊推理系统用于使模糊规则基础分析结果。从模拟结果来看,所证明的,提出的系统更能在移动节点的每个级别(低,中等和高)下,以高阳性率和低误报的数据包丢失攻击更强。

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