José A. Onieva

Towards maintainable AI-driven network anomaly and threat detection: a comparative analysis of datasets, preprocessing techniques, and model trade-offs

Abstract As the integration of Artificial Intelligence into network intrusion detection systems matures, a critical gap remains in the rigorous empirical benchmarking of datasets, preprocessing techniques, and model effectiveness. This article presents a comparative experimental...