chore: clean content

about.md

@@ -1,4 +1,9 @@
-# PerfSPEC Learning Phase
+---
+gitea: none
+include_toc: true
+---
+
+# PerfSPEC Learning Phase - ABOUT
 
 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.
 
@@ -10,48 +15,12 @@ Based in [PrefSPEC: Performance Profiling-based Proactive Security Policy Enforc
  <a target="_blank" href="perfspec-learning/src/branch/main/presentacion.pdf"><img src="imgs/prefSPEC-learning.png" width="800"></a>
 </div>
 
-__PerfSPEC__ has three phases:
 
-- Ranking
+# What is done so far ? 
-- Learning
-- Runtime
 
-This repository is focused in __Learning__ phase with attention on:
+- [X] 
 
-- Event logs info load and process
+# Plans 
-- Predictive learning model 
-
-> Note: It is considered that __event data collection__ in `raw-audit-logs.log.gz` 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.
-
-Tools are distributed in directories:
-
-- [Collect](collect)
-- [Process](process)
-- [Learning](learning)
-
-As some tasks can be used in [Python](https://python.org) or [Rust](https://www.rust-lang.org/) there are directories for each programming languge inside directories tasks.  
-
-Each `task/programming-language` may have a __data__ directory where processing output files is generated. 
-
-### Collect data
-
-If you wish to [collect](collect) your own dataset, there are several source files that might help:
-
-- `collect/collect.py` is a script to trigger the installation and uninstallation of public Helm repositories.
-- `collect/helm-charts.json` is a backup of Helm charts used at the time of the collection.
-
-### Process data 
 
 
-### Learning
+# In Review
-
-
-
-## Reference
-
-[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)

imgs/full_layout.md

@@ -1,39 +0,0 @@
-# PerfSPEC Learning Phase  Directory Layout
-
-<pre>
-    ├── PerfSPEC.pdf                   Reference document
-    ├── README.md
-    ├── about.md
-    ├── actions_distribution.pdf       Generated actions distribytion
-    ├── collect                        Collect logs scripts 
-    │   ├── audit-policy.yaml
-    │   ├── collect.py
-    │   └── helm-charts.json
-    ├── data                           Extracted from compress archive 
-    │   ├── actions-dataset-audit.txt
-    │   ├── actions-logs.log
-    │   ├── actions_distribution.pdf
-    │   ├── main-audit-logs.log
-    │   └── raw-audit-logs.log
-    ├── data_sample.tar.xz             Compress archive with 'data'
-    ├── imgs
-    ├── install.md                     Installation notes
-    ├── intro.md
-    ├── learning
-    │   └── python
-    │       ├── __pycache__            Ignored in git
-    │       ├── lib_perfspec.py
-    │       ├── model_perfspec.py
-    │       ├── prepare_perfspec.py
-    │       ├── run_perfspec.py
-    │       └── train_perfspec.py
-    ├── models                        Extracted from compress archive
-    │   ├── checkpoints
-    │   │   ├── model_at_epoch_175.keras
-    │   │   └── model_at_epoch_185.keras
-    │   ├── history.json
-    │   └── perfSPEC_model.keras
-    ├── models_sample.tar.xz          Comperss archive with 'models'
-    ├── presentacion.pdf              Presentation slides
-    └── raw-audit-logs.log.xz         Main Raw Logs file
-</pre>

intro.md

@@ -1,3 +1,8 @@
+---
+gitea: none
+include_toc: true
+---
+
 # PerfSPEC Learning Phase  INTRO
 
 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.
@@ -10,48 +15,7 @@ Based in [PrefSPEC: Performance Profiling-based Proactive Security Policy Enforc
  <a target="_blank" href="perfspec-learning/src/branch/main/presentacion.pdf"><img src="imgs/prefSPEC-learning.png" width="800"></a>
 </div>
 
-__PerfSPEC__ has three phases:
+# Why ?
 
-- Ranking
+Security has to be **PROACTIVE** 
-- 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.gz` 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.
-
-Tools are distributed in directories:
-
-- [Collect](collect)
-- [Process](process)
-- [Learning](learning)
-
-As some tasks can be used in [Python](https://python.org) or [Rust](https://www.rust-lang.org/) there are directories for each programming languge inside directories tasks.  
-
-Each `task/programming-language` may have a __data__ directory where processing output files is generated. 
-
-### Collect data
-
-If you wish to [collect](collect) your own dataset, there are several source files that might help:
-
-- `collect/collect.py` is a script to trigger the installation and uninstallation of public Helm repositories.
-- `collect/helm-charts.json` is a backup of Helm charts used at the time of the collection.
-
-### Process data 
-
-
-### Learning
-
-
-
-## Reference
-
-[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)