一种MANET加权自荐选簇分层IDS模型

为了解决移动Ad Hoc网络中平面入侵检测系统的网络消耗大、扩展性差等问题，给出了一种分层加权自荐选簇入侵检测系统的实现方案．在该方案中，节点根据性能参数加权值主动竞选簇头，使得网络形成分簇结构，簇成员采集入侵检测系统(IDS)数据，簇头行使IDS判决功能，IDS簇头和成员协作完成入侵检测功能．并详细分析了簇头选择算法和竞选流程．最后利用仿真模拟了加权自荐选簇算法中簇头自荐和竞选过程，仿真结果表明该方案是可行的．

A hierarchical IDS model for MANET based on weighted clustering with self-recommendation

To solve the problems such as large network consumption and weak expansibility,the paper presents a scheme for layered weighted self-recommendation clustering Intrusion Detection System(IDS) according to the nature of Ad Hoc networks.In the scheme,nodes compete for cluster headers based on their weighted capability parameters,which makes the network layered.In the layered clustering network,cluster members collect IDS data, cluster headers exert judgments,and they collaborate with each other to complete intrusion detection.Then,we analyze in detail the algorithm for selection and the process of self-recommendation and competition of cluster headers.Finally,we use the emulator to simulate the process,and the result shows that the scheme is feasible.