ABRAHEEM, Abraheem; ARHOUMAH, Ali; FOKLA, Hamza; BASHEER, Majeda. 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, Libya, v. 4, n. 2, p. 121–143, 2026. DOI: 10.63318/waujpasv4i2_14. Disponível em: https://www.waujpas.com/index.php/journal/article/view/471.. Acesso em: 19 jul. 2026.