基于危险理论和DCA的WSNs入侵检测系统模型

Intrusion detection system model for WSNs based on danger theory and DCA

针对无线传感器网络(WSNs)由于自身特点易于遭到入侵且传统被动的安全机制无法完全应对这一问题,对人工免疫系统(AIS)进行研究,设计一种新的入侵检测系统(IDS)模型。模型采用危险理论和适用于WSNs的改良树突状细胞算法(DCA),可使节点之间彼此分工合作共同识别入侵,加强了网络的鲁棒性。仿真结果显示:与早期的自我—非我(SNS)模型相比,研究的模型在检测能力和能耗上均有很好的表现。

Aiming at the problem that WSNs is prone to different attacks due to his own features and traditional passive security mechanism can＇ t fully solve this problem,in order to improve the current security situation,design a new intrusion detection system （IDS） model inspired in artificial immune system （AIS）.It uses danger theory and improved dendritic cell algorithm （DCA）applied in WSNs,which make nodes to execute different function and collaborate to identify intrusion,and strengthen robustness of WSNs.Simulation results shows that compared with self-nonself（SNS） model,the new IDS model is better in detecting capacity and energy consumption.