Intrusion Detection System Using Ensemble Learning and SHAP Explainability

1.M. A. Hossain and M. S. Islam, "Ensuring network security with a robust intrusion detection system using ensemble-based machine learning," Array, vol. 19, p. 14, 2023.
2.R. Tahri, Y. Balouki and A. Lasbahani, "Intrusion Detection System Using machine learning Algorithms," ITM Web Conf., vol. 46, p. 4, 2022.
3.B.Yogesh and G. S. Reddy, "Intrusion detection System using Random Forest Approach," Turkish Journal of Computer and Mathematics Education, vol. 13, no. 02, pp. 725 - 733, 2022.
4.M. P. Shirurkar and M. More , "Implementation of the NSL-KDD Dataset to Study the Naive Bayes," Panamerican Mathematical Journal,vol.35, 2025.
5.P. A. doost, S. S. Moghadam, E. Khezri, A. Basem and M. Trik , "A new intrusion detection method using ensemble classification and feature selection," Scientific Reports volume, vol. 15, no. 1, p. 13642, 2025.
6.S. Patil, V. Varadarajan, S. Mazhar, A. Sahibzada, N. Ahmed, O. Sinha, S. Kumar, K. Shaw and K. Kotecha, "Explainable Artificial Intelligence for Intrusion Detection System," Electronics, vol. 11,2022.