43 lines
1.4 KiB
Markdown
43 lines
1.4 KiB
Markdown
# PerfSPEC Learning Phase
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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.
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__PerfSPEC__ has three phases:
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- Ranking
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- Learning
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- Runtime
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This repository is focused in __Learning__ phase with attention on:
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- Event logs info load and process
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- Predictive learning model
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> Note: It is considered that __event data collection__ in `raw-audit-logs.log` are realistic and representative to simulate
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administrative operations.
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## Files
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- `raw-audit-logs.log` contains raw Kubernetes audit logs collected using the `audit-policy.yaml` audit policy.
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### Collect data
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If you wish to collect your own dataset, there are several source files that might help:
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- `collect/collect.py` is a script to trigger the installation and uninstallation of public Helm repositories.
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- `collect/helm-charts.json` is a backup of Helm charts used at the time of the collection.
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### Process data
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### Learning
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## Reference
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Source document
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te this dataset in your publication if it helps your research:
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[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)
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