Deep Learning versus Gist Descriptors for Image-based Malware Classification

Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Di Troia, Mark Stamp

2018

Abstract

Image features known as ``gist descriptors'' have recently been applied to the malware classification problem. In this research, we implement, test, and analyze a malware score based on gist descriptors, and verify that the resulting score yields very strong classification results. We also analyze the robustness of this gist-based scoring technique when applied to obfuscated malware, and we perform feature reduction to determine a minimal set of gist features. Then we compare the effectiveness of a deep learning technique to this gist-based approach. While scoring based on gist descriptors is effective, we show that our deep learning technique performs equally well. A potential advantage of the deep learning approach is that there is no need to extract the gist features when training or scoring.

Paper Citation

in Harvard Style

Yajamanam S., Selvin V., Di Troia F. and Stamp M. (2018). Deep Learning versus Gist Descriptors for Image-based Malware Classification.In Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ForSE, ISBN 978-989-758-282-0, pages 553-561. DOI: 10.5220/0006685805530561

in Bibtex Style

@conference{forse18,
author={Sravani Yajamanam and Vikash Raja Samuel Selvin and Fabio Di Troia and Mark Stamp},
title={Deep Learning versus Gist Descriptors for Image-based Malware Classification},
booktitle={Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,},
year={2018},
pages={553-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006685805530561},
isbn={978-989-758-282-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,
TI - Deep Learning versus Gist Descriptors for Image-based Malware Classification
SN - 978-989-758-282-0
AU - Yajamanam S.
AU - Selvin V.
AU - Di Troia F.
AU - Stamp M.
PY - 2018
SP - 553
EP - 561
DO - 10.5220/0006685805530561