On the Influence of Image Settings in Deep Learning-based Malware Detection

Francesco Mercaldo, Francesco Mercaldo, Fabio Martinelli, Antonella Santone, Vinod P.

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: ForSE, ISBN 978-989-758-553-1, pages 669-676. DOI: 10.5220/0010890600003120

in Bibtex Style

@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 - Volume 1: ForSE,},
year={2022},
pages={669-676},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010890600003120},
isbn={978-989-758-553-1},
}

in EndNote Style

TY - CONF

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