增量式学习支持下的电力监控系统网络安全攻击检测分析  

Analysis of Incremental Learning-enhanced Network Security Attack Detection in Power Monitoring Systems

作　　者：何佳月 HE Jiayue(Wen'an County Power Supply Branch of State Grid Jibei Electric Power Co.,Ltd.,Langfang 065800,China)

机构地区：[1]国网冀北电力有限公司文安县供电分公司,河北廊坊065800

出　　处：《电工技术》2024年第13期43-45,52,共4页Electric Engineering

摘　　要：为增强电力系统的监控力度,保证电网稳定运行,电力企业需积极应用先进技术优化电力监控系统网络安全攻击检测技术,以提升网络攻击检测效果。对增量式学习支持下电力监控系统网络安全攻击检测进行探析,以某供电公司为例,通过创建网络安全攻击检测模型对攻击检测效果进行分析,以提高电力监控系统工作质量,提升网络攻击检测准确性,对国家电网的运行安全具有重要意义。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 detection 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 monitoring systems and accuracy of network attack detection,and is of certain significance to the security of the State Grid.

关 键 词：增量式学习 电力监控系统 网络安全 攻击检测 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]