Information Flows at OS Level Unmask Sophisticated Android Malware

Valérie Viet Triem Tong, Aurélien Trulla, Mourad Leslous, Jean-François Lalande

Abstract

The detection of new Android malware is far from being a relaxing job. Indeed, each day new Android malware appear in the market and it remains difficult to quickly identify them. Unfortunately users still pay the lack of real efficient tools able to detect zero day malware that have no known signature. The difficulty is that most of the existing approaches rely on static analysis coupled with the ability of malware to hide their malicious code. Thus, we believe that it should be easier to study what malware do instead of what they contain. In this article, we propose to unmask Android malware hidden among benign applications using the observed information flows at the OS level. For achieving such a goal, we introduce a simple characterization of all the accountable information flows of a standard benign application. With such a model for benign apps, we lead some experiments evidencing that malware present some deviations from the expected normal behavior. Experiments show that our model recognizes most of the 3206 tested benign applications and spots most of the tested sophisticated malware (ransomware, rootkits, bootkit).

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Paper Citation


in Harvard Style

Viet Triem Tong V., Trulla A., Leslous M. and Lalande J. (2017). Information Flows at OS Level Unmask Sophisticated Android Malware . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 578-585. DOI: 10.5220/0006476705780585


in Bibtex Style

@conference{secrypt17,
author={Valérie Viet Triem Tong and Aurélien Trulla and Mourad Leslous and Jean-François Lalande},
title={Information Flows at OS Level Unmask Sophisticated Android Malware},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={578-585},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006476705780585},
isbn={978-989-758-259-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - Information Flows at OS Level Unmask Sophisticated Android Malware
SN - 978-989-758-259-2
AU - Viet Triem Tong V.
AU - Trulla A.
AU - Leslous M.
AU - Lalande J.
PY - 2017
SP - 578
EP - 585
DO - 10.5220/0006476705780585