Hybrid CNN-LSTM intrusion detection system achieves 98.2% precision on NSL-KDD and real-time throughput of 27,800 flows/s for smart grid cybersecurity.
Generative adversarial networks for launching and thwarting adversarial attacks on network intrusion detection systems,
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A Hybrid CNN-LSTM Intrusion Detection Framework for Cybersecurity in Smart Renewable Energy Grids
Hybrid CNN-LSTM intrusion detection system achieves 98.2% precision on NSL-KDD and real-time throughput of 27,800 flows/s for smart grid cybersecurity.