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Authors: Francesco Mercaldo 1 ; 2 ; Fabio Martinelli 1 ; Antonella Santone 2 and Vinod P. 3

Affiliations: 1 Institute of Informatics and Telematics, National Research Council of Italy, Pisa, Italy ; 2 University of Molise, Campobasso, Italy ; 3 Cochin University of Science & Technology, Kerala, India

Keyword(s): Malware, Deep Learning, Security, Android, Classification.

Abstract: Considering the inadequacy of signature-based approaches for detecting malware, especially in the mobile environment, the research community is developing methodologies for detecting malware, especially using deep learning techniques, modeling applications like images. In state-of-the-art, several methods are proposed, each of one using a different kind of images and a different dimension of images: currently these are not standard settings for image preprocessing in Android malware detection. The aim of this paper is to compare different deep learning models performances to understand the best settings in terms of kind of image and image dimension. The idea is to trace a path in order to indicate the optimal settings for processing a dataset for malware detection using deep learning.

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Paper citation in several formats:
Mercaldo, F., Martinelli, F., Santone, A. and P., V. (2022). On the Influence of Image Settings in Deep Learning-based Malware Detection. In Proceedings of the 8th International Conference on Information Systems Security and Privacy - ForSE; ISBN 978-989-758-553-1; ISSN 2184-4356, SciTePress, pages 669-676. DOI: 10.5220/0010890600003120

@conference{forse22,
author={Francesco Mercaldo and Fabio Martinelli and Antonella Santone and Vinod P.},
title={On the Influence of Image Settings in Deep Learning-based Malware Detection},
booktitle={Proceedings of the 8th International Conference on Information Systems Security and Privacy - ForSE},
year={2022},
pages={669-676},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010890600003120},
isbn={978-989-758-553-1},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Information Systems Security and Privacy - ForSE
TI - On the Influence of Image Settings in Deep Learning-based Malware Detection
SN - 978-989-758-553-1
IS - 2184-4356
AU - Mercaldo, F.
AU - Martinelli, F.
AU - Santone, A.
AU - P., V.
PY - 2022
SP - 669
EP - 676
DO - 10.5220/0010890600003120
PB - SciTePress

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