Author

Karim Wael Hussein

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#federated learning Open access Sep 2026

Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN–LSTM model with explainable AI

FedShield-IDS is proposed, a novel federated intrusion detection framework that integrates a hybrid one-dimensional Convolutional Neural Network with Long Short-Term Memory units to simultaneously capture spatial traffic fingerprints and long-range temporal attack dynamics across IoT edge devices.

Ghada Abdelhady, Karim Wael Hussein, Islam Anwar Ali Gad · Scientific Reports · 0 citations

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