ml-malware-classifier

Starter code and some data, simplified from Riccorl/ml-malware-classifier. To be used for an assignment in SE4AI.

The preprocessed_data.txt file contains already the summarized data from the medium dataset in this repository. A corresponding version for the full dataset can be found in the files section on Canvas.

The notebook malware_analysis.ipynb contains some simple code to load the data and learn a classifier.

Reference

Daniel Arp, Michael Spreitzenbarth, Malte Huebner, Hugo Gascon, and Konrad Rieck 
"Drebin: Efficient and Explainable Detection of Android Malware in Your Pocket", 
21th Annual Network and Distributed System Security Symposium (NDSS), February 2014

• The original paper can be found here.
• The original dataset can be found here.