Explainable ML-Based Intrusion Detection for E-Government Cyber Defence
This repository contains the source code, experimental notebooks, datasets/results, and supplementary materials associated with the research study: "Explainable Machine Learning-Based Intrusion Detection for e-Government Cyber Defence" The study investigates the use of explainable and trustworthy machine learning techniques for network intrusion detection, with emphasis on detection performance, probability calibration, and model interpretability.
Authors
- Islam Md Ashraful
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-28
- DOI
- https://doi.org/10.5281/zenodo.22148786
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00