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    Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques by Hamouda, Djallel, Ferrag, Mohamed Amine, Nadjette, Benhamida, Hamid, Seridi, Ghanem, Mohamed Chahine

    Published 2024
    “…Concurrently, we address the issues of imbalanced and distributed data and deploy a data curation technique to align generated data within specific constraints. 2) A secondary model fine-tunes local Critics for enhanced resilience and detection of various adversarial attacks. 3) The third model focuses on precise cyber threat identification, leveraging augmented data for improved training under a synthetic federated learning schema, bolstering detection capability, especially against zero-day threats. …”
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