Author

Djalila Boughareb

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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

Sep 2026

Blockchain-coordinated Federated Learning with Label-Aware Proximal Aggregation for Robust ECG Classification

Privacy preservation and trustworthy coordination remain major challenges in distributed healthcare analytics, particularly for ECG arrhythmia classification. Although Federated Learning (FL) enables collaborative model training without sharing raw patient data, its performance degrades under non-IID data distribut...

Selma Aouamria, Djalila Boughareb, Mohamed Nemissi et al. · Recent Advances in Computer... · 0 citations