Published September 1, 2021 | Version v3
Dataset Open

Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification

  • 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

Files (42.2 GB)

Name Size Download all
md5:58fc24f051f89f66920f74e0bfe9fdf4
33.7 GB Preview Download
md5:e310d963d5a9cd9cc8cbe770e9e76030
8.5 GB Preview Download

Additional details

Funding

AHMA – Automated Hardware Malware Analysis ANR-18-CE39-0001
Agence Nationale de la Recherche