ARCHIVES
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
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260702029References
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.
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.
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026