基于5G的智能电网异常入侵动态检测方法
Dynamic Detection Method for Smart Grid Anomaly Intrusion Based on 5G
张榆浠 1王静瑗1
作者信息
- 1. 国网汉中供电公司,陕西汉中 723000
- 折叠
摘要
随着 5G的普及,智能电网的安全性问题受到广泛关注.文章提出基于 5G的智能电网异常入侵动态检测方法.该方法采用长短期记忆(Long Short-Term Memory,LSTM)网络作为核心算法,结合 5G网络的高速率和低延迟特性,实现对智能电网异常行为的实时检测与响应.通过实验验证,该方法能够显著增强智能电网的安全防护能力.
Abstract
With the widespread adoption of 5G,the security issues of smart grids have attracted extensive attention.This paper proposes a dynamic detection method for smart grid anomaly intrusion based on 5G,which uses Long Short-Term Memory(LSTM)networks as the core algorithm and leverages the high-speed and low-latency characteristics of 5G networks to achieve real-time detection and response to smart grid anomaly behaviors.The experimental verification shows that this method can significantly enhance the security protection capability of smart grids.
关键词
5G/智能电网/异常入侵检测/长短期记忆(LSTM)网络/动态监测Key words
5G/smart grid/anomaly intrusion detection/Long Short-Term Memory(LSTM)network/dynamic monitoring引用本文复制引用
出版年
2024
NETL
NSTL
万方数据