Empirical analysis of Android logs using self-organizing maps

Eric Finickel 1 Abdelkader Lahmadi 1 Frederic Beck 1 Olivier Festor 1
1 MADYNES - Management of dynamic networks and services
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : In this paper, we present an empirical analysis of the logs generated by the logging system available in Android environments. The logs are mainly related to the execution of the different components of applications and services running on an Android device. We have analysed the logs using self organizing maps where our goal is to establish behavioural fingerprints of Android applications. Each fingerprint is build using information available in logs and related to the structure of an application and its interaction with the system. The developed methodology allows us the better understand Android Apps regarding their granted permissions and performed actions and it proves to be promising for the analysis of malware applications with a minimal overhead and cost.
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Communication dans un congrès
ICC 2014 : IEEE International Conference on Communications, Jun 2014, Sydney, Australia. IEEE, pp.1802 - 1807, 2014, 〈10.1109/ICC.2014.6883584〉
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Eric Finickel, Abdelkader Lahmadi, Frederic Beck, Olivier Festor. Empirical analysis of Android logs using self-organizing maps. ICC 2014 : IEEE International Conference on Communications, Jun 2014, Sydney, Australia. IEEE, pp.1802 - 1807, 2014, 〈10.1109/ICC.2014.6883584〉. 〈hal-01092011〉

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