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Author

Raeed Al-Sabri

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Open access 2026

DMGCRL: Dynamic Multi-Scale Graph Contrastive Representation Learning for Network Intrusion Detection

Dynamic Multiscale Graph Contrastive Representation Learning (DMGCRL), a self-supervised framework that hierarchically models network intrusions at different levels, is proposed, which consistently outperforms SOTA methods in network intrusion detection.

Raeed Al-Sabri, Abdullatif Albaseer, Mohamed M. Abdallah et al. · 0 citations
Conference Aug 2026

CGL-FED: A Continual Graph-Based Learning Framework for Fraudulent Email Detection

Email communication remains the primary vector for sophisticated cyber threats, including phishing and spam, resulting in billions of dollars in annual financial losses. While state-of-the-art deep learning (DL) models have demonstrated high precision in static environments, they frequently suffer from performance degr...

Mohammed Abdulwahab, Muneer Almekhlafi, Raeed Al-Sabri · 0 citations

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