Deep Neural Networks for Android Malware Detection

Abhilash Hota; Paul Irolla

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Paper

Deep Neural Networks for Android Malware Detection

In Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE, 657-663, 2019 , Prague, Czech Republic

Authors: Abhilash Hota and Paul Irolla

Affiliation: Laboratoire de Cryptologie et de Virologie Operationnelles, École Supérieure d’Informatique, Électronique, Automatique, Laval and France

Keyword(s): Machine Learning, Deep learning, Android, Malware.

Abstract: In this paper we present a study of the application of deep neural networks to the problem of pattern matching in Android malware detection. Over the last few years malware have been proliferating and malware authors keep developing new techniques to bypass existing detection methods. Machine learning techniques in general and deep neural networks in particular have been very successful in recent years in a variety of classification tasks. We study various deep neural networks as potential solutions for pattern matching in malware detection systems. The effectiveness of the different architectures is compared and judged as a potential replacement for traditional approaches to malware detection in Android systems.

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Paper citation in several formats:

Hota, A. and Irolla, P. (2019). Deep Neural Networks for Android Malware Detection. In Proceedings of the 5th International Conference on Information Systems Security and Privacy - ForSE; ISBN 978-989-758-359-9; ISSN 2184-4356, SciTePress, pages 657-663. DOI: 10.5220/0007617606570663

@conference{forse19,
author={Abhilash Hota. and Paul Irolla.},
title={Deep Neural Networks for Android Malware Detection},
booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - ForSE},
year={2019},
pages={657-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007617606570663},
isbn={978-989-758-359-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - ForSE
TI - Deep Neural Networks for Android Malware Detection
SN - 978-989-758-359-9
IS - 2184-4356
AU - Hota, A.
AU - Irolla, P.
PY - 2019
SP - 657
EP - 663
DO - 10.5220/0007617606570663
PB - SciTePress