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Machine learning classifiers for android malware analysis

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Fecha

2016-04-27

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Institute of Electrical and Electronics Engineers Inc.

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Resumen

Abstract

Android is an operating system which currently has over one billion active users for all their mobile devices, with a market impact that is influencing an increase in the amount of information that can be obtained from different users, facts that have motivated the development of malware by cybercriminals. To solve the problems caused by malware, Android implements a different architecture and security controls, such as unique user ID (UID) for each application, system permissions, and its distribution platform Google Play. It has been shown that there are ways to violate that protection, and how the complexity for create a new solutions are increased while cybercriminals improve their skills to develop malware.

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Palabras clave

Android (Recurso electrónico), Teléfonos inteligentes - Programación, Ingeniería de sistemas y comunicaciones, Telecomunicaciones,

Keywords

Malware, Systems engineering, Telecommunication

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DOI

http://dx.doi.org/10.1109/ColComCon.2016.7516385

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978-1-5090-1084-4

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Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0).