Springer Nature OA
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CC BY 4.0
Fed fusion-IDS: a privacy-preserving federated intrusion detection system with multi-objective feature optimization and explainable deep learning
Network Intrusion Detection Systems (NIDS) are vital for protecting cybersecurity infrastructures. The existing intrusion detection methodologies that rely on centralization do not offer privacy protection, cannot protect from zero-day attacks, and lack transparency needed to comply with modern cybe
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