TryKatChup/ML-IOT-malware-analysis

Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)

ML-IOT-malware-analysis

Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)

Contents

• IoT23_preprocessing.ipynb: Jupyter Notebook with preprocessing operations, useful for both tabular_prediction_AutoGluon.ipynb and training_ML_models.ipynb.

• tabular_prediction_AutoGluon.ipynb: Jupyter Notebook with AutoGluon Tabular experiments.

• training_ML_models.ipynb: Jupyter Notebook with classic Machine Learning Model training (random forest, SVM linear and with rbf kernel).

• reports: my reports.