An Anomaly Detection Scheme for Wireless Sensor Networks Based on Kernel Clustering
Xiaoyan Cai · Chuangan jishu xuebao · 2008
To the specific features of wireless sensor network and attack models met with routing protocols,a lightweight security scheme,KCAD(Kernel Clustering based Anomaly attack Detection),is proposed for detecting routing attacks.By using Mercer kernel function,the scheme can map the traffic feature samples from their original space to a high dimensional feature space where the traffic feature samples are expected to be more separable,and then perform clustering in the high dimensional space.Meanwhile,in order to reduce the influence of historical data,we add time dimension to the traffic feature samples which can represent current network situation nicely.Simulation results show that KCAD has good veracity with less resource overhead.