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Authors: Gerardo Canfora 1 ; Francesco Mercaldo 2 ; Antonio Pirozzi 1 and Corrado Aaron Visaggio 1

Affiliations: 1 University of Sannio, Italy ; 2 University of Sannio and Centro Regionale Information Communication Technology - CeRICT scrl, Italy

ISBN: 978-989-758-196-0

Keyword(s): Malware, Phylogenesis, Lineage, Triage, Security, Android.

Related Ontology Subjects/Areas/Topics: Information and Systems Security ; Security and Privacy in Mobile Systems

Abstract: Android malware is becoming more and more aggressive, in terms of impact on the victim’s device and in terms of capability of evading detection. Not only smartphones with their sensitive information are targeted by attackers, but also devices such as watches, glasses and everything that can be connected to the Internet of Things. Current signature based antimalware or anomaly based detection are not able to detect zero-day attacks: even trivial code transformation can overcome detection. New malware is often not really new: malware writers are used to add functionality to existing malware, or merge different pieces of existing malware code: this determines the families of Android malware i.e. malware programs that have in common some essential features or behaviors and modify some other parts. To be able to recognize the malware familiy a malware belongs to is useful for malware analysis, fast infection response, and quick incident resolution. In this paper we introduce DescentDroid, a tool that traces back the malware descendant family. We experiment our technique with an extended dataset comprising malware and trusted applications, obtaining high precision in recognizing the malware family membership. (More)

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Paper citation in several formats:
Canfora, G.; Mercaldo, F.; Pirozzi, A. and Visaggio, C. (2016). How I Met Your Mother? - An Empirical Study about Android Malware Phylogenesis.In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 4: SECRYPT, (ICETE 2016) ISBN 978-989-758-196-0, pages 310-317. DOI: 10.5220/0005968103100317

@conference{secrypt16,
author={Gerardo Canfora. and Francesco Mercaldo. and Antonio Pirozzi. and Corrado Aaron Visaggio.},
title={How I Met Your Mother? - An Empirical Study about Android Malware Phylogenesis},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 4: SECRYPT, (ICETE 2016)},
year={2016},
pages={310-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005968103100317},
isbn={978-989-758-196-0},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 4: SECRYPT, (ICETE 2016)
TI - How I Met Your Mother? - An Empirical Study about Android Malware Phylogenesis
SN - 978-989-758-196-0
AU - Canfora, G.
AU - Mercaldo, F.
AU - Pirozzi, A.
AU - Visaggio, C.
PY - 2016
SP - 310
EP - 317
DO - 10.5220/0005968103100317

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