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Repo for the paper "An Empirical Study on the Robustness and Generalization of Machine Learning for Malware Analysis"

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unipr-xAI-lab/ml-malware-dataset-extractor

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ml-malware-dataset-extractor

Repo for the paper "An Empirical Study on the Robustness and Generalization of Machine Learning for Malware Analysis"

This script provides a basis for automating the collection and extraction of data from malware.

The code is simple and can therefore be easily adapted to any requirement.

Project structure

dataset/
├── .env                    The directories that will be used are specified here.
├── extract.py              Run this script after adapting the code
├── gen_samples.py          The actual data extractor
└── parse_bazar.py          Parse MalwareBazaar file naming style

Usage

git clone https://github.com/unipr-xAI-lab/ml-malware-dataset-extractor.git
cd ml-malware-dataset-extractor/dataset
pip install -r requirements.txt
python3 extract.py

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Repo for the paper "An Empirical Study on the Robustness and Generalization of Machine Learning for Malware Analysis"

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