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Author

A. El Affar

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Sep 2026

Towards reliable intrusion detection in smart grids: A multiclass, process-aware perspective

A systematic evaluation of the Sherlock dataset proves that, when high-fidelity event labels are available, supervised multi-class learning provides a robust, accurate, and engineering-valid foundation for intrusion detection in the modern, renewable-integrated grids.

M. Loughmari, M. Bouhadda, A. El Affar · 0 citations
Open access Aug 2026

A Computationally Efficient Ensemble Boosting Framework for Optimized DoS Attack Detection in Wireless Sensor Networks

A computationally efficient intrusion detection framework based on the eXtreme Gradient Boosting model, specifically tailored for energy-constrained environments, and designed for deployment at the cluster-head or gateway levels of WSN architectures is proposed.

M. Loughmari, A. El Affar · 0 citations

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