无线传感器网络轻量级免疫入侵检测机制

On Detection Mechanism of WSNs Lightweight Immune Intrusion

针对分簇式WSNs结构,提出基于免疫原理的簇内任务分解的WSNs轻量级入侵检测机制,建立簇内和簇头的双层相互协作的入侵检测模型。在簇内节点采用免疫遗传否定选择加速生成成熟免疫细胞集合;簇头采用粗糙集属性约简,建立入侵检测特征库,对数据包进一步入侵检测,并将新特征库更新簇内节点记忆免疫细胞集合。仿真结果证明本机制可提高检测率,节约了节点能耗,降低了误检率。

For clustered-WSNs framework ,this article proposes task decomposition intrusion detection mechanism based on immune theory and builds double -deck synergic intrusion detection mechanism of cluster -head and cluster points .The simulation process includes the following steps ：using immune inheritance negative selection in cluster -points to create mature immune cells collection quickly ,using attribute reduction of Rough Set theory in cluster -head ,building intrusion detection feature library , farther detecting data package from cluster -points ,and updating memory immune cells collection of cluster - points . Simulation results prove this intrusion detection mechanism can enhance detection rate ,save points energy consumption ,and reduce false drop rate .