面向移动传感网的攻击风险监测系统

Security Risk Monitor System of Mobile Sensor Network

提出基于稳定性、安全性、簇大小选择和簇首节点合理选择的方法,从逻辑上对整个网络进行了簇的划分并选出最佳簇首节点,引入基于自回归模型的间隙性异常识别,实现了在簇首节点上执行自动检测网络流量异常和自动报警的功能。实验证明了该方法的有效性。

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.