Malware Analysis

Binary Classification of Malwares from the Drebin dataset.

Setup Instructions

1. Create a raw_data folder inside the main directory of the repo.

2. Add the sha files and feature_vectors folder from this link https://drive.google.com/file/d/0Bxxqx_AAp2u2enI0UzBqSEZQRHc into the raw_data folder.

3. Create another folder titled "processed_data",inside the main directory of the repo. Don't put anything in here.

4. Run scripts/Malware_Classification_Model.py to extract and run the model with python3 or Malware_Classification_Model.ipnyb on Jupyter notebook

Results

Random Forest Classifier:

Accuracy: 0.99

Precision: 0.98

Recall: 0.99

AUC: 0.99

Logistic Regression:

Accuracy: 0.82

Precision: 0.85

Recall: 0.78

AUC: 0.82