Published September 1, 2021
| Version v3
Dataset
Open
Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification
Authors/Creators
- 1. Université de Rennes, CNRS, IRISA, France
Description
Data used in the paper: "Obfuscation Revealed: Leveraging Electromagnetic Signals for
Obfuscated Malware Classification". The paper has been accepted at ACSAC-2021.
Two dataset are available:
- traces_selected_bandwidth.zip: the extracted bandwidth (40) of spectrograms from the testing dataset to reproduce the classification results presented in the paper,
- raw_data_reduced_dataset.zip: a reduce set of the raw electromagnetic traces to reproduce the end-to-end process (pre-processing and classification).
Due to storage constraints we did not upload the full datasets, fill free to contact us to get the remaining ones.
Files
raw_data_reduced_dataset.zip
Additional details
Funding
- Agence Nationale de la Recherche
- AHMA - Automated Hardware Malware Analysis ANR-18-CE39-0001