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

作　　者：陈晋伦[1] 周正 

机构地区：[1]中国传媒大学,北京100024

出　　处：《电路与系统学报》2007年第6期104-107,共4页Journal of Circuits and Systems

摘　　要：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.

关 键 词：AD HOC网络 路由安全 二进前向神经网络 节点识别 

分 类 号：TN915.08[电子电信—通信与信息系统]