摘要
当前数字电网安全风险预警方法存在一定局限性,如风险预警正确率低、耗时长等应用缺陷。为此,设计基于危险理论的数字电网网络安全风险预警方法。分析影响数字电网网络安全风险因素,引入危险理论中的人工免疫机制得到抗原信息集,并采用隐马尔可夫链法计算数字电网网络安全风险值,将风险值与预警标准值进行比较实现电网网络安全风险预警。实验测试结果表明:所提方法可以准确预警电网网络风险,提高了数字电网网络安全性,且预警误报率较低,应用性能较为理想。
The current digital power grid security risk early warning methods have some limitations,such as low accuracy of risk early warn-ing,long time-consuming and other application defects.Therefore,a digital power grid network security risk early warning meth-od based on risk theory is designed.This paper analyzes the factors affecting the security risk of digital power grid network,intro-duces the artificial immune mechanism in risk theory to obtain the antigen information set,uses the hidden Markov chain method to calculate the security risk value of digital power grid network,compares the risk value with the early warning standard value,and realizes the security risk early warning of power grid network.The experimental results show that the proposed method can accurately warn the power grid network risk,improve the security of digital power grid network,and the early warning false alarm rate is low,and the application performance is ideal.
作者
刘欣
LIU Xin(CSG Digital Power Grid Group Co.,Ltd.,Guangzhou 510000 China)
出处
《自动化技术与应用》
2024年第2期102-106,共5页
Techniques of Automation and Applications
关键词
危险理论
数字电网
网络安全
风险预警
预警误报率
risk theory
digital power grid
network security
risk early warning
early warning false alarm rate