A Network Illegal Access Detection Method Based on PSO-SVM Algorithm in Power Monitoring System

In this paper, a network illegal access detection method based on PSO-SVM algorithm in the power monitoring system is proposed, where the particle swarm optimization (PSO) algorithm is used to optimize the parameters of support vector machine (SVM). And the proposed method is used to classify normal data flow and abnormal data flow in the network to detect whether there is illegal access behavior in the power monitoring system. Compared with the original SVM-based method and LS-SVM-based method, the proposed method not only improves the convergence speed of the network training, but also improves the accuracy rate. The proposed method can fleetly discovery and locate the illegal access behavior in the power monitoring system, which is a meaningful study in improving the security of the power monitoring system.