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Author

Mahran M. Al-Zyoud

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Aug 2026

A multi-branch hierarchical framework for counterfeit image manipulation localization using noise and frequency features

Experimental evaluations on benchmark forensic datasets demonstrate that the proposed framework achieves competitive detection performance and robustness across most datasets, attaining an AUC of up to 0.998 on NIST16, while highlighting specific failure modes on challenging cases such as COVERAGE.

Mahran M. Al-Zyoud, M. A. Jabbar, M. S. Heera et al. · 0 citations
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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