摘要
由于承载变电站信息的变电站次设备整体安全水平不高,且缺乏功能应用各层级系统化的安全评估体系,该文利用异常检测提供网络安全可视化的数据来源,将数据以直观形式进行展示,能够让运维人员快速了解当前变电站系统的网络安全态势,也能够让非技术人员直观感受网络安全的整体状态,实现智能电网网络安全可视化。模型使用自定义算法将网络安全入侵分级,按照分级情况展示可视化结果,可帮助运维人员对网络安全的形势进行评估,以加快应急响应速度;同时还结合Docker容器技术,实现对现有服务器即插即用,方便加装在现有服务器上。
Because the overall safety level of substation sub-equipment carrying substation information is not high,and lack of functional application of all levels of systematic security assessment system.In this paper,anomaly detection is used to provide a visual data source for network security,and the data is displayed in an intuitive form,enabling operation and maintenance personnel to quickly understand the current network security situation of the substation system.It also enables non-technical personnel to intuitively feel the overall state of network safety and realize the visualization of smart grid network security.The model uses a custom algorithm to classify network security intrusion and displays visual results according to the classification,which can help operation and maintenance staff evaluate the network security situation and speed up emergency response.At the same time,Docker container technology is also combined to realize the plug-and-play of the existing server,which is convenient to install on the existing server.
作者
蒋文辉
席禹
于力
陈波
JIANG Wen-hui;XI Yu;YU Li;CHEN Bo(China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510555,China)
出处
《自动化与仪表》
2023年第4期6-9,14,共5页
Automation & Instrumentation
基金
南方电网数字电网研究院科技项目(670000KK52200138,670000KK52200140)。
关键词
智能电网安全
异常检测
安全可视化
入侵检测
可视分析
smart grid security
anomaly detection
security visualization
intrusion detection
visual analysis
