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The Intrusion Detection Model Based on the Fuzzy Judgment in Ad Hoc Network

机译:基于临时网络模糊判断的入侵检测模型

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The problem of security in communication has been researched to Ad Hoc network in this paper, and it also has been proposed a distributed intrusion detection model which is based on the fuzzy judgment. The judging rules of the aggressive behavior are summarized in this model according to the different offensive features in routing layer. Moreover, the log is established according to IP packets in routing layer, and the fuzzy evaluation to the data is carried on. On the base of this, a way to enhance the correct rate of the detection by joint detection mechanism of multi-point cooperation has been introduced in this paper. To distribute the network resource dynamically and reasonably, all nodes are treated dynamically with safety classification. Taking AODV routing protocol as an example, the working mechanism of the model is introduced, and the software NS2 is used to put up network simulation platform. The experimental results show that the detection model can guarantee the network security better.
机译:在本文中已经研究了通信安全问题,并提出了一种基于模糊判断的分布式入侵检测模型。根据路由层中的不同冒犯特征,在该模型中综述了攻击行为的判断规则。此外,根据路由层中的IP分组建立日志,并继续对数据的模糊评估。在本文的基础上,本文介绍了一种提高多点合作的联合检测机制检测的正确速率的方法。要动态地和合理地分发网络资源,所有节点都以安全分类动态处理。以AODV路由协议为例,介绍了模型的工作机制,软件NS2用于置于网络仿真平台。实验结果表明,检测模型可以更好地保证网络安全性。

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