Classification of Malware by Using Structural Entropy on Convolutional Neural Networks

This code base is no longer maintained and exists as a historical artifact to supplement the paper Classification of Malware by Using Structural Entropy on Convolutional Neural Networks.

Requirements

Code is written in Python 3.6 and requires Tensorflow==2.3.0 and PyWavelets==1.1.1

Citing

If you find this work useful in your research, please consider citing:

@inproceedings{DBLP:conf/aaai/GibertMPV18,
  author    = {Daniel Gibert and
               Carles Mateu and
               Jordi Planes and
               Ramon Vicens},
  editor    = {Sheila A. McIlraith and
               Kilian Q. Weinberger},
  title     = {Classification of Malware by Using Structural Entropy on Convolutional
               Neural Networks},
  booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
               (AAAI-18), the 30th innovative Applications of Artificial Intelligence
               (IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
               Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
               2-7, 2018},
  pages     = {7759--7764},
  publisher = {{AAAI} Press},
  year      = {2018},
  url       = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16133},
  timestamp = {Tue, 23 Oct 2018 06:42:15 +0200},
  biburl    = {https://dblp.org/rec/conf/aaai/GibertMPV18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}