![]() Android is becoming ubiquitous and currently has the largest share of the mobile OS market with billions of application downloads from the official app market. This dataset allows us to discuss trends in malware behavior observed from apps dating back as far as 2010, as well as to present insights gained from operating ANDRUBIS as a publicly available service for the past two years. With ANDRUBIS, we collected a dataset of over 1,000,000 Android apps, including 40% malicious apps. ANDRUBIS combines static analysis with dynamic analysis on both Dalvik VM and system level, as well as several stimulation techniques to increase code coverage. In this paper we present ANDRUBIS, a fully automated, publicly available and comprehensive analysis system for Android apps. While the importance of such tools has been addressed by the research community, the resulting prototypes remain limited in terms of analysis capabilities and availability. To deal with the increasing number of malicious Android apps in the wild, malware analysts typically rely on analysis tools to extract characteristic information about an app in an automated fashion. Android is the most popular smartphone operating system with a market share of 80%, but as a consequence, also the platform most targeted by malware.
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