摘要
为了提高无线传感器网络的安全性,针对无线传感器网络的自身特性,设计了一种入侵检测系统模型。该模型按照聚类的方法,将区域划分成簇;在每个簇中选举簇头,簇头需定期轮换;采用基于相关向量机(RVM)的入侵检测方案。实验表明:所提出的模型与其它检测模型相比具有更高的平均检测率和更低的平均误检率,且具有低能耗的特点。
To improve safety of wireless sensor networks（ WSNs）,in view of characteristics of WSNs,an intrusion detection system model is designed. According to clustering method,the model divides area into clusters; elect cluster heads in each cluster,cluster heads should be rotated regularly; adopt intrusion detection scheme based on relevance vector machine（ RVM）. Experimental results show that the proposed model has a higher average detection rate and lower average false rate compared with other intrusion detection models,and has characteristics of low energy consumption.
出处
《传感器与微系统》
CSCD
2016年第5期46-48,59,共4页
Transducer and Microsystem Technologies
关键词
无线传感器网络
入侵检测
相关向量机
wireless senser networks（WSNs）
intrusion detection
relevance vector machine（RVM）
