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Mohamad Anbar

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Open access Jul 2026

A Unified Machine Learning-Based IDS/IPS Framework with Bio-Inspired Feature Selection for Real-Time Detection of Malware-Laden URLs

A unified machine-learning framework for defence against malware-laden URLs, which simultaneously targets intrusion detection and intrusion prevention through module-aware, bio-inspired feature selection through module-aware, bio-inspired feature selection.

Mohammad Sh. Daoud, M. Abualhaj, Sumaya S. Al-Khatib et al. · 0 citations

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