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

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 series 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.