Andrana: Quick and Accurate Malware Detection for Android

  • Andrew Bedford
  • Sébastien Garvin
  • Josée Desharnais
  • Nadia Tawbi
  • Hana Ajakan
  • Frédéric Audet
  • Bernard Lebel
Conference paper

DOI: 10.1007/978-3-319-51966-1_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10128)
Cite this paper as:
Bedford A. et al. (2017) Andrana: Quick and Accurate Malware Detection for Android. In: Cuppens F., Wang L., Cuppens-Boulahia N., Tawbi N., Garcia-Alfaro J. (eds) Foundations and Practice of Security. FPS 2016. Lecture Notes in Computer Science, vol 10128. Springer, Cham

Abstract

In order to protect Android users and their information, we have developed a lightweight malware detection tool for Android called Andrana. It leverages machine learning techniques and static analysis to determine, with an accuracy of 94.90%, if an application is malicious. Its analysis can be performed directly on a mobile device in less than a second and using only 12 MB of memory.

Keywords

Malware detection Android Static analysis Machine learning 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Andrew Bedford
    • 1
  • Sébastien Garvin
    • 1
  • Josée Desharnais
    • 1
  • Nadia Tawbi
    • 1
  • Hana Ajakan
    • 1
  • Frédéric Audet
    • 2
  • Bernard Lebel
    • 2
  1. 1.Laval UniversityQuebecCanada
  2. 2.Thales Research and Technology CanadaQuebecCanada

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