Author

Faiza Titouna

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Open access Sep 2026

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...

Soumia Felkaoui, Faiza Titouna, Djalila Boughareb et al. · Future Internet · 0 citations

Jul 2026

An adaptive attention residual convolutional LSTM network for robust human activity recognition in healthy aging

A Correlation-Centroid Reduction (CCR) method to reduce feature complexity and noise, and ARCL-Net, a hybrid deep learning model integrating convolutional, residual, LSTM, and attention layers for improved HAR performance are introduced.

M. Boulahia, Saber Benharzallah, A. Laouid et al. · Multimedia tools and applica... · 0 citations