无线Mesh网络恶意节点检测模型
Malicious node detection model for wireless Mesh networks

针对现有恶意节点检测方法对无线Mesh网络恶意节点检测效率低的问题，该文提出一种基于移动Ad-hoc网络更优方案（better approach to mobile Ad-hoc networking，BATMAN）路由协议的恶意节点检测模型（malicious node detection model based on BATMAN，MNDMB）。在无线Mesh网络中使用BATMAN路由协议，在网络节点上安装源节点消息解析模块，根据解析模块生成的参数和相应阈值的比较判断出可疑节点，通过一致性投票机制计算出可疑节点置信值作为恶意节点判定的标准。仿真验证结果表明：与现有方法相比，MNDMB在无线Mesh网络中具有较高的恶意节点检测率和较低的误报率。
Abstract：Existing malicious node detection methods for wireless Mesh networks are not very efficient. This paper presents a malicious node detection method based on the mobile Ad-hoc networking (BATMAN) route protocol (MNDMB). The BATMAN route protocol is loaded into a wireless Mesh network in a source node message analysis module to generate the defection parameters and identify suspicious nodes depending on these parameters by comparisons to thresholds. Then, a multi-node voting mechanism is used to calculate the confidence value which is used as the criterion for judging the malicious node. Verification tests show that this protocol has higher detection rates and lower false positive rates in wireless Mesh networks than existing methods.