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Authors: Borja Sanz ; Igor Santos ; Xabier Ugarte-Pedrero ; Carlos Laorden ; Javier Nieves and Pablo G. Bringas

Affiliation: University of Deusto, Spain

Keyword(s): Security, Malware, Android.

Related Ontology Subjects/Areas/Topics: Information and Systems Security ; Intrusion Detection & Prevention ; Security and Privacy in Mobile Systems

Abstract: The usage of mobile phones has increased in our lives because they offer nearly the same functionality as a personal computer. Besides, the number of applications available for Android-based mobile devices has increased. Android application distribution is based on a centralized market where the developers can upload and sell their applications. However, as it happens with any popular service, it is prone to misuse and, in particular, malware writers can use this market to upload their malicious creations. In this paper, we propose a new method that, based upon several features that are extracted from the AndroidManifest file of the legitimate applications, builds an anomaly detection system able to detect malware.


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Paper citation in several formats:
Sanz, B.; Santos, I.; Ugarte-Pedrero, X.; Laorden, C.; Nieves, J. and G. Bringas, P. (2013). Instance-based Anomaly Method for Android Malware Detection. In Proceedings of the 10th International Conference on Security and Cryptography (ICETE 2013) - SECRYPT; ISBN 978-989-8565-73-0; ISSN 2184-3236, SciTePress, pages 387-394. DOI: 10.5220/0004529603870394

author={Borja Sanz. and Igor Santos. and Xabier Ugarte{-}Pedrero. and Carlos Laorden. and Javier Nieves. and Pablo {G. Bringas}.},
title={Instance-based Anomaly Method for Android Malware Detection},
booktitle={Proceedings of the 10th International Conference on Security and Cryptography (ICETE 2013) - SECRYPT},


JO - Proceedings of the 10th International Conference on Security and Cryptography (ICETE 2013) - SECRYPT
TI - Instance-based Anomaly Method for Android Malware Detection
SN - 978-989-8565-73-0
IS - 2184-3236
AU - Sanz, B.
AU - Santos, I.
AU - Ugarte-Pedrero, X.
AU - Laorden, C.
AU - Nieves, J.
AU - G. Bringas, P.
PY - 2013
SP - 387
EP - 394
DO - 10.5220/0004529603870394
PB - SciTePress