Infrastructure for Detecting Android Malware

Abstract

Malware for smartphones have sky-rocketed these last years, particularly for Android platforms. To tackle this threat, services such as Google Bouncer have intended to counter-attack. However, it has been of short duration since the malware have circumvented the service by changing their behaviors. Therefore, we propose a malware taxonomy, a survey of attack vectors to better understand the Android malware, a survey of the modus-operandi of attackers for infecting the smartphones, and the design of components that are responsible for analyzing and detecting Android malware of the NEMESYS infrastructure. This infrastructure aims at understanding and detecting attacks both at the network and smartphone level.