The increasing market share of the Android platform is partly caused by a growing number of applications (apps) available on the Android market: by now (January 2011) roughly 200.000. This pop- ularity in combination with the lax market approval process attracts the injection of malicious apps into the market. Android features a fine- grained permission system allowing the user to review the permissions an app requests and grant or deny access to resources prior to installation. In this paper, we extract these security permissions along other meta- data of 130.211 apps and apply a new analysis method called Activation Patterns. Thereby, we are able to gain a new understanding of the apps through extracting knowledge about security permissions, their relations and possible anomalies, executing semantic search queries, finding rela- tions between the description and the employed security permissions, or identifying clusters of similar apps. The paper describes the employed method and highlights its benefits in several analysis examples - e.g. screening the market for possible malicious apps that should be further investigated.
['Peter Teufl', 'Stefan Kraxberger', 'Clemens Orthacker', 'Günther Lackner', 'Michael Gissing', 'Alexander Marsalek', 'Johannes Leibetseder', 'Oliver Prevenhueber']
Android Market Analysis with Activation Patterns