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Original Article

Intrusion Detection System Using Ensemble Learning and SHAP Explainability

Bibash Basnet1 Prajwal Rai2 Subarna Sapkota3 Bibek Gautam4
1 Padmashree College, Nilai University, Nepal. 2 Kantipur City College, Purbanchal University, Nepal. 3 Nepal College of Information Technology, Pokhara University, Nepal. 4 Pulchowk Campus, Tribhuvan University, Nepal.

Published Online: March-April 2026

Pages: 239-243

References

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.

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