Digital Monitoring Method of Power Data Communication Traffic Based on Supported Vector Machine
Power data communication network carries the key business data of power system,and its safe and stable operation is very important.In view of the increasingly severe network security situation,this paper proposes a digital monitoring method of power data communication traffic based on support vector machine.This method realizes intelligent analysis and accurate identification of massive communication traffic data through feature extraction,model training,anomaly detection and other links.The simulation results show that this method can effectively find all kinds of abnormal behaviors in the network,and the detection accuracy is as high as 98.5%,which provides a strong support for ensuring the safe and stable operation of the power system.
power communication networktraffic monitoringsupport vector machine
NETL
NSTL
万方数据
