Security Risk Monitor System of Mobile Sensor Network
Ni Min · 2015
This paper proposed an approach based on stability,security,cluster size selection and rational cluster head node choice,which divides the entire network into clusters logically and selects the best head node.With a intermittent anomaly identification based on the auto-regressive(AR)model,it achieves automatic detection of network traffic anomalies on the head node of the cluster and automatic alarm.Experiments show the effectiveness of the proposed method.