Dynamic Detection Method for Smart Grid Anomaly Intrusion Based on 5G
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.
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