Soumia Felkaoui

A Task-Specific Autoencoder–CatBoost Framework for Intrusion Detection in Imbalanced IIoT

Industrial Internet of Things (IIoT) intrusion detection remains challenging because of class imbalance, rare attacks, and heterogeneous evaluation protocols. This study proposes a modular intrusion-detection framework based on task-specific autoencoder representation learning and downstream CatBoost classification. Th...