CAJ | 학술논문

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。
침대분족식WSNs결구，제출기우면역원리적족내임무분해적WSNs경량급입침검측궤제，건립족내화족두적쌍층상호협작적입침검측모형。재족내절점채용면역유전부정선택가속생성성숙면역세포집합；족두채용조조집속성약간，건립입침검측특정고，대수거포진일보입침검측，병장신특정고경신족내절점기억면역세포집합。방진결과증명본궤제가제고검측솔，절약료절점능모，강저료오검솔。
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 .