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Enhanced Adaptive Acknowledgement Method for Detecting Malicious Nodes in MANETs

机译:MANET中检测恶意节点的增强型自适应确认方法

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摘要

Mobile Ad hoc Network is a collection of mobile nodes that communicate with each other without base station. These networks are developed instantly or on-demand when some nodes come in the mobility range of each other and decide to cooperate for data transfer and communication. MANETs are more vulnerable to various types of attacks due to its deployment nature. The security in the mobile ad hoc network is very hard to achieve because of its fundamental characteristics such as dynamic topology, open medium, limited power, limited bandwidth and remote transmission. The prevention mechanisms like cryptography or authentication alone cannot detect malicious nodes in Ad-hoc networks. Hence we propose and implement a new intrusion detection system named Enhanced Adaptive Acknowledgement method specially designed for MANETs. Using MRA scheme, this method is capable of detecting malicious nodes even in the presence of false misbehavior report. Compared to other detection methods, this method is capable of detecting high malicious nodes and hence increases the security and network performances.
机译:移动自组织网络是无需基站即可相互通信的移动节点的集合。当某些节点进入彼此的移动范围并决定合作进行数据传输和通信时,这些网络将立即开发或按需开发。由于MANET的部署特性,它更容易受到各种类型的攻击。由于移动自组织网络的基本特征(例如动态拓扑,开放媒体,有限的功率,有限的带宽和远程传输),因此很难实现其安全性。仅加密或身份验证之类的预防机制无法检测到Ad-hoc网络中的恶意节点。因此,我们提出并实现了一种专门为MANET设计的名为增强型自适应确认方法的新入侵检测系统。使用MRA方案,即使存在错误的不良行为报告,该方法也能够检测恶意节点。与其他检测方法相比,该方法能够检测高恶意节点,因此提高了安全性和网络性能。

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