Analysis of Incremental Learning-enhanced Network Security Attack Detection in Power Monitoring Systems
To enhance the monitoring of power system and ensure grid stable operation,power companies need to actively apply advanced technology to optimize network security attack detection of power monitoring system,and improve detec-tion utility.This paper focuses on the use of incremental learning to enhance detection of network security attacks in power monitoring systems by carrying out a case analysis on the utility of an attack detection model established for an actual power supply company.It may contain useful information facilitating improvement in operational quality of power monito-ring systems and accuracy of network attack detection,and is of certain significance to the security of the State Grid.