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The use of mobile phones has increased because they offer nearly the same functionality as a personal computer. In addition, the number of applications available for Android-based mobile devices has increased. Google offers programmers the opportunity to upload and sell applications in the Android Market, but malware writers upload their malicious code there. In light of this background, we present here manifest analysis for malware detection in Android (MAMA), a new method that extracts several features from the Android manifest of the applications to build machine learning classifiers and detect malware.
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Keywords: Android; machine learning; malware

Document Type: Research Article

Affiliations: 1: S3 Lab, University of Deusto, Bilbao, Spain 2: Instituto de Física Aplicada, Consejo Superior de Investigaciones Cientificas (CSIC), Madrid, Spain

Publication date: October 3, 2013

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