基于二进前向神经网络的Ad Hoc网络节点识别方法

A BFANN-based node recognition method in Ad Hoc wireless networks

提出了一种基于二进前向神经网络的无线移动Ad Hoc网络节点识别方法。安全问题是无线移动Ad Hoc网络的一个关键性问题,路由协议的安全尤为重要,本文针对恶意节点的主动攻击提出了一种基于二进前向神经网络的无线移动Ad Hoc网络节点识别方法,该方法可以有效的避免恶意节点接入网络,从而提高了网络路由的安全性。

In this paper, we propose a node recognition method based on the Binary Feedforward Artificial Neural Networks （BFANN） in Ad Hoc Wireless Networks. The security is one of the key issues in wireless mobile ad hoc networking and a secure routing protocol is very important in some applications. It is a good way to protect routing against attacks from malicious ad hoc nodes by recognizing nodes periodically. Through node recognizing, the malicious nodes are prevented from accessing the networking in that the security of routing and network is improved.