Deep Learning versus Gist Descriptors for Image-based Malware Classification

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

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.

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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