Proceedings of the 5th IEEE International Conference on Malicious and Unwanted Software, Malware 2010 (2010) pp. 55-62
Smartphones are steadily gaining popularity, creating new application areas as their capabilities increase in terms of computational power, sensors and communication. Emerging new features of mobile devices give opportunity to new threats. Android is one of the newer operating sys-tems targeting smartphones. While being based on a Linux kernel, Android has unique properties and specific limita-tions due to its mobile nature. This makes it harder to de-tect and react upon malware attacks if using conventional techniques. In this paper, we propose an Android Application Sand-box (AASandbox) which is able to perform both static and dynamic analysis on Android programs to automatically de-tect suspicious applications. Static analysis scans the soft-ware for malicious patterns without installing it. Dynamic analysis executes the application in a fully isolated envi-ronment, i.e. sandbox, which intervenes and logs low-level interactions with the system for further analysis. Both the sandbox and the detection algorithms can be deployed in the cloud, providing a fast and distributed detection of sus-picious software in a mobile software store akin to Google's Android Market. Additionally, AASandbox might be used to improve the efficiency of classical anti-virus applications available for the Android operating system.
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