摘要
针对新型安全威胁对电力行业的安全防护体系提出了新的挑战,文中围绕电力行业网络安全需求,研究应用大数据和机器学习等技术解决电力网络安全防护面临的监测、分析、决策和响应等问题,构建了电力调控中心网络安全态势感知系统。该系统能够对全网海量安全信息进行自动分析与深度挖掘,通过人工智能及机器学习建立安全威胁分析模型,及时掌握安全风险和态势趋势,快速进行自适应联动响应,能够提升电力行业网络信息安全防护能力,完善电力行业网络安全的核心竞争力。
In response to new security threats, the security protection system of the power industry is facing new challenges. This paper focuses on the network security requirements of the power industry, studies the application of big data and machine learning technology to solve the problems of the security protection of the power network, such as monitoring, analysis, decision-making and response, and constructs a network security situational awareness system of the power control center. The system can automatically analyze and deeply mine the massive security information of the whole network, establish the security threat analysis model through artificial intelligence and machine learning, timely grasp the security risks and trend, and quickly carry out the self-adaptive linkage response. It can improve the ability of network information security protection in the power industry, improve the core competitiveness of network security in China’s power industry.
作者
张亮
翟海保
葛朝强
ZHANG Liang;ZHAI Hai-bao;GE Zhao-qiang(East China Grid Company,Shanghai 200120,China)
出处
《信息技术》
2019年第9期60-64,共5页
Information Technology
关键词
电力调控中心
网络安全态势
感知系统
设计应用
electric power control center
network security situation
sensing system
design and application
