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# PerfSPEC Learning Phase
Based in [PrefSPEC: Performance Profiling-based Proactive Security Policy Enforcement for Containers](https://ieeexplore.ieee.org/document/10577533) document presented in [1], thir repository contains source files used to generate and process data.
__PerfSPEC__ has three phases:
- Ranking
- Learning
- Runtime
This repository is focused in __Learning__ phase with attention on:
- Event logs info load and process
- Predictive learning model
> Note: It is considered that __event data collection__ in `raw-audit-logs.log` are realistic and representative to simulate
administrative operations.
## Files
- `raw-audit-logs.log` contains raw Kubernetes audit logs collected using the `audit-policy.yaml` audit policy.
If you wish to collect your own dataset, we include several source files that might help:
- `collect.py` is a script to trigger the installation and uninstallation of public Helm repositories.
- `helm-charts.json` is a backup of Helm charts used at the time of the collection.
## Reference
Source document
te this dataset in your publication if it helps your research:
[1]: [H. Kermabon-Bobinnec et al., "PerfSPEC: Performance Profiling-based Proactive Security Policy Enforcement for Containers," in IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2024.3420712.](https://ieeexplore.ieee.org/document/10577533)