KubAnomaly Reconstructed Dataset with Low Anomaly Ratio
Abstract
This dataset is a reconstructed version of the KubAnomaly dataset with a realistic low anomaly ratio (2.98%). The original KubAnomaly dataset contains 65.94% anomalous samples, which diverges from real container runtime environments. We apply balanced stratified down-sampling to reduce the anomaly ratio to approximately 3%, yielding 12,005 normal samples and 369 anomalous samples (123 per attack type). The repository includes the reconstructed dataset files and the preprocessing script for full reproducibility.
Fields of Study & Subjects
Network Security and Intrusion Detection
Software System Performance and Reliability
Security and Verification in Computing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN
- Document type
- Dataset