无线传感器网络中基于信誉的恶意节点检测

提出一种基于信誉的恶意节点检测方法——RMDMN,在分簇的网络结构基础上,对节点的行为属性(如丢包率、转发率、位置匹配信息等)和网络攻击进行建模,结合阈值比较法动态地更新节点信誉值并进行恶意节点判断.实验仿真显示,该方法具有一定的恶意节点检测能力.

A reputation-based method for detecting malicious nodes in WSNs

In order to identify the malicious nodes timely in wireless sensor networks(WSNs),this paper proposed a malicious node testing method based on a reputation mode—RMDMN.On the top of a clustering WSN architecture,we recorded and analysed the node’s behavior features,such as packet loss rate,packet forward rate,and position matching information etc.under some network attacks.Combined with threshold value judgment and the node’s reputation updated dynamically,a method has been proposed to judge malicious nodes.Simulation results verify that this method has some ability to detect malicious nodes.