https://github.com/trykatchup/ml-iot-malware-analysis
Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)
https://github.com/trykatchup/ml-iot-malware-analysis
automl automl-experiments cybersecurity iot iot23 machine-learning random-forest svm
Last synced: about 1 year ago
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Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)
- Host: GitHub
- URL: https://github.com/trykatchup/ml-iot-malware-analysis
- Owner: TryKatChup
- License: mit
- Created: 2023-01-04T13:06:10.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-15T17:43:34.000Z (over 3 years ago)
- Last Synced: 2025-03-24T16:02:37.754Z (over 1 year ago)
- Topics: automl, automl-experiments, cybersecurity, iot, iot23, machine-learning, random-forest, svm
- Language: Jupyter Notebook
- Homepage:
- Size: 8.41 MB
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ML-IOT-malware-analysis
Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)
## Contents
- [IoT23_preprocessing.ipynb](https://github.com/TryKatChup/ML-IOT-malware-analysis/blob/main/IoT23_preprocessing.ipynb): Jupyter Notebook with preprocessing operations, useful for both [tabular_prediction_AutoGluon.ipynb](https://github.com/TryKatChup/ML-IOT-malware-analysis/blob/main/autogluon/tabular_prediction_AutoGluon.ipynb) and [training_ML_models.ipynb](https://github.com/TryKatChup/ML-IOT-malware-analysis/blob/main/ml-classic/training_ML_models.ipynb).
- [tabular_prediction_AutoGluon.ipynb](https://github.com/TryKatChup/ML-IOT-malware-analysis/blob/main/autogluon/tabular_prediction_AutoGluon.ipynb): Jupyter Notebook with AutoGluon Tabular experiments.
- [training_ML_models.ipynb](https://github.com/TryKatChup/ML-IOT-malware-analysis/blob/main/ml-classic/training_ML_models.ipynb): Jupyter Notebook with classic Machine Learning Model training (random forest, SVM linear and with rbf kernel).
- [reports](https://github.com/TryKatChup/ML-IOT-malware-analysis/tree/main/reports): my reports.