Federated learning-powered real-time behavioral intrusion detection leveraging LSTM, attention, GANs, and large

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Federated learning-powered real-time behavioral intrusion detection leveraging LSTM, attention, GANs, and large

Abdullah AlHayan¹, Jalal Al-Muhtadi²

¹Department of Computer Science, CCIS, King Saud University, Riyadh, 11451, Saudi Arabia. 445107907@student.ksu.edu.sa.

Scientific reports

|February 21, 2026

まとめ

No abstract available in PubMed .

キーワード:

Attention Mechanism Contextual Feature Engineering DistilBERT Explainable AI (XAI)Federated Learning GPT-2 Generative Adversarial Networks (GAN)Intrusion Detection System (IDS)Large Language Models (LLM)Long Short-Term Memory (LSTM)Real-Time Detection Semantic Data Augmentation