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M. Abualhaj

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Open access Sep 2026

Securing IoT Networks Against Cyber Threats Using an Improved Whale Optimization Algorithm

This study presents a machine learning (ML) framework for securing IoT networks, using a modified whale optimization algorithm (WOA) for feature selection with an adaptive crossover function, and shows notable improvements in performance metrics across various classifiers for both binary and multiclass classification t...

Dhari M. Ali, M. Abualhaj, A. Abu-Shareha et al. · 1 citation
Open access Sep 2026

Malware detection using dynamic analysis with a modified Harris Hawk optimizer

The rapid advancement of technology has significantly enhanced innovation, productivity, and connectivity across industries but has also empowered cybercriminals to develop increasingly sophisticated malware. This advanced malware poses serious challenges to cybersecurity, as traditional detection methods often fail to...

Hasan A. Anabousi, M. Abualhaj, A. Abu-Shareha et al. · 1 citation
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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