Decoding the Secrets of Machine Learning in Windows Malware Classification: A Deep Dive into Datasets, Features, and Model Performance
This repository hosts the feature importance scores of the following experiments:
- Binary detection
- Static
- All samples
- Packed only
- No packed
- Dynamic
- All samples
- Family classification
- Static
- All samples
- Packed only
- No packed
- Dynamic
- All samples
If you use any of the contents, please cite it as:
@inproceedings{dambra2023decoding,
title={Decoding the secrets of machine learning in malware classification: A deep dive into datasets, feature extraction, and model performance},
author={Dambra, Savino and Han, Yufei and Aonzo, Simone and Kotzias, Platon and Vitale, Antonino and Caballero, Juan and Balzarotti, Davide and Bilge, Leyla},
booktitle={Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security},
pages={60--74},
year={2023}
}
