Network Attack Identification Method Based on Random Forest Algorithm and K-means
The deep integration of 5G networks and nuclear power can improve the production safety control level of nuclear power plants,reduce man-made accidents,and promote safety and economic development of nuclear power industry.However,due to the access to network,it brings certain security risks for the safe production of nuclear power,and malicious attackers will destroy the nuclear power production by launching attacks to the 5G network of nuclear power production.In order to solve the problems of network anomalies and malicious attacks faced in nuclear power 5G network scenarios,a real-time network anomaly detection and network attack recognition method based on the random forest algorithm and K-means algorithm in nuclear power 5G network scenarios is proposed,which is of great significance to improve nuclear power network security.
random forest algorithmK-means algorithmnetwork anomaly detectionnetwork attack recognition
万方数据
维普
