Abraheem, Abraheem, Ali Arhoumah, Hamza Fokla, and Majeda Basheer. “Feature-Selected Machine Learning for 5G Intrusion Detection: Leakage-Aware Evaluation and Sensitivity to Sequence Metadata in 5G-NIDD”. Wadi Alshatti University Journal of Pure and Applied Sciences 4, no. 2 (July 18, 2026): 121–143. Accessed July 19, 2026. https://www.waujpas.com/index.php/journal/article/view/471.