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W. Fahs

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#machine learning Preprint Sep 2026

AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

Email spam and phishing attacks remain a critical security threat. Adversaries increasingly exploit large language models to craft contextually convincing malicious messages, and existing spam detection systems often struggle to keep pace. Generalization across diverse and evolving attack scenarios is limited, which re...

Omran Berjawi, W. Fahs, Rida Khatoun · 0 citations
#machine learning Preprint Sep 2026

A GAN-Based Framework for Robust DDoS Attack Detection

The availability and consistency of online services remain vulnerable due to Distributed Denial of Service (DDoS) attacks. These attacks are evolving by adopting more complex strategies to evade traditional network security systems. Despite the effectiveness of machine learning models in detecting DDoS traffic, targete...

Makram Chehayeb, W. Fahs, Amina Rizk et al. · 0 citations

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