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

作　　者：张榆浠 王静瑗 ZHANG Yuxi;WANG Jingyuan(State Grid Hanzhong Supply Company,Hanzhong 723000,China)

机构地区：[1]国网汉中供电公司,陕西汉中723000

出　　处：《通信电源技术》2024年第16期149-151,共3页Telecom Power Technology

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。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 

分 类 号：TN929.5[电子电信—通信与信息系统] TM76[电子电信—信息与通信工程]