摘要
随着电力系统的不断发展,电力信息安全成为当前的研究热点。深度学习是一种高效的机器学习方法,能够从大量复杂数据中提取有价值的信息,在电力系统的安全监控中得到有效应用。深度学习技术的引入,为电力信息安全事件的检测与响应提供了新的解决方案。文章设计了基于深度学习的电力信息安全事件检测与响应系统,以期为相关研究提供借鉴。
With the continuous development of the power system,power information security has become a current research hotspot.Deep learning is an efficient machine learning method that can extract valuable information from a large amount of complex data and is effectively applied in the security monitoring of power systems.The introduction of deep learning technology provides a new solution for the detection and response of power information security incidents.The article designs a power information security event detection and response system based on deep learning,in order to provide reference for related research.
作者
宋凯
SONG Kai(State Grid Shanxi Electric Power Company Lvliang Power Supply Company,Lvliang Shanxi 033000,China)
出处
《信息与电脑》
2024年第6期215-217,共3页
Information & Computer
关键词
电力信息
深度学习
安全事件检测
响应系统设计
electricity information
deep learning
security incident detection
response system design