A Robust Ensemble-Learning Framework for Intrusion Detection on CICIDS2017
Network intrusion detection systems (IDS) continue to struggle with redundant records, imbalanced attack classes, and limited model transparency. This paper presents a robust ensemble-learning framework for intrusion detection built on the CICIDS2017 dataset, and it incorporates removal of duplicate flows, handling of...