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Conference Papers Year : 2014

Capturing Android Malware Behaviour using System Flow Graph

Abstract

This article uses a new data structure namely System Flow Graph (SFG) that offers a compact representation of information dis- semination induced by an execution of an application to characterize malicious application behavior and lead some experiments on 4 malware families DroidKungFu1, DroidKungFu2, jSMSHider, BadNews. We show how SFG are relevant to exhibit malware behavior.
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Dates and versions

hal-01018611 , version 1 (25-11-2015)

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Radoniaina Andriatsimandefitra, Valérie Viet Triem Tong. Capturing Android Malware Behaviour using System Flow Graph. NSS 2014 - The 8th International Conference on Network and System Security, Oct 2014, Xi'an, China. ⟨10.1007/978-3-319-11698-3_43⟩. ⟨hal-01018611⟩
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