无线传感器网络中一种基于流量预测和相关系数的异常检测方法

An Anomaly Detection Approach Based on Traffic Prediction and Correlation Coefficient for WSN

几种典型的流量预测模型在无线传感器网络入侵检测系统中的应用进行了分析,结合相关系数,提出了一种异常入侵检测方法.根据WSN节点的预测流量序列和实际流量序列的相关系数变化来进行异常检测.实验结果表明了该方法的有效性,在攻击强度较弱时也具有较高的检测率.

The results of analyzed in WSN intrusion detection system, an anomaly intrusion detection approach has been proposed by combing correlation coefficient, where the correlation coefficient of traffic prediction series and real traffic seties of node is used to identify anomalous nodes. Experimental results demonstrate the efficiency of the proposed approach, compared with other methods, it has higher detection rate when the intensity of attacking is weaker.