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.· Journal of Artificial Intell...· 1 citation
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.· Discover Artificial Intellig...· 1 citation
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.· Journal of Information and C...· 0 citations
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