Open access
Jul 2026
Comparative performance evaluation of machine learning classifiers for multi-class intrusion detection on the NSL-KDD dataset.
A feature-driven Intrusion Detection (ID) framework that combines XGBoost-based feature selection with multiple ML classifiers to improve attack detection performance while reducing computational complexity is proposed.
Aman Jyoti, Maninder Singh, V. Banga et al.
· Scientific Reports · 0 citations