Aghawafaabbass/xgboost-intrusion-detection-nsl-kdd: Initial Release
Abstract
This is the first official release of the XGBoost Intrusion Detection NSL-KDD project. It includes: Complete data preprocessing scripts XGBoost-based model training scripts Evaluation scripts and performance metrics Sample dataset files and README instructions This release is fully functional and ready for research and citation. A Zenodo DOI will be automatically generated upon release.
Fields of Study & Subjects
Network Security and Intrusion Detection
Network Packet Processing and Optimization
Internet Traffic Analysis and Secure E-voting
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026