基于深度学习的电力信息安全事件检测与响应系统设计
Design of Power Information Security Event Detection and Response System Based on Deep Learning
宋凯1
作者信息
- 1. 国网山西省电力公司吕梁供电公司,山西吕梁 033000
- 折叠
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.
Abstract
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.
关键词
电力信息/深度学习/安全事件检测/响应系统设计Key words
electricity information/deep learning/security incident detection/response system design引用本文复制引用
出版年
2024
NETL
NSTL
万方数据