Aghawafaabbass/efficient-cyber-threat-detection-xgboost: Initial Release
Abstract
This is the first official release of the Efficient Cyber Threat Detection XGBoost project. It includes: Data preprocessing scripts for cyber threat datasets XGBoost model training and evaluation code Performance metrics and result visualization scripts README with setup and usage 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
Spam and Phishing Detection
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026