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Authors: Sravani Yajamanam ; Vikash Raja Samuel Selvin ; Fabio Di Troia and Mark Stamp

Affiliation: San Jose State University, United States

Keyword(s): Malware Detection, Gist Descriptors, Support Vector Machine, k-nearest Neighbor, Deep Learning, TensorFlow.

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 several formats:
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 - ForSE; ISBN 978-989-758-282-0; ISSN 2184-4356, SciTePress, pages 553-561. DOI: 10.5220/0006685805530561

@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 - ForSE},
year={2018},
pages={553-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006685805530561},
isbn={978-989-758-282-0},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Information Systems Security and Privacy - ForSE
TI - Deep Learning versus Gist Descriptors for Image-based Malware Classification
SN - 978-989-758-282-0
IS - 2184-4356
AU - Yajamanam, S.
AU - Selvin, V.
AU - Di Troia, F.
AU - Stamp, M.
PY - 2018
SP - 553
EP - 561
DO - 10.5220/0006685805530561
PB - SciTePress

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