Malware-detection-ML

Android malware detection using Machine Learning.

Dataset - NATICUSdroid (Android Permissions)

The notebook 'main.ipynb' contains the following outlines.

• Import modules
• Read Data
• Pre processing
• Feature Selection methods
  • Variance Inflation Factor (multi-collinearity removal)
  • Mutual Information Score
• Machine learning pipeline modelling
  • Logistic Regression
  • Support Vector Machines
  • K Nearest Neighbors
  • Random Forest
  • XGBoost
  • CatBoost
  • Voting classifier : Random forest + XGBoost + Catboost
  • Stacking classifier : Logistic regression + SVM + Knn + Random forest + XGBoost + Catboost
• Bayesian based hyper-parameter tuning
• ML model explainability using Shapley values

Dataset citations

• Mathur, Akshay & Mathur, Akshay. (2022). NATICUSdroid (Android Permissions) Dataset. UCI Machine Learning Repository.