Abstract
The paper proposes an advanced filter based android malware detection platform that can be implemented as an add-on to the Google-playstore – the official provider of android applications worldwide. The mechanism uses the signature based, behavioral based technique and the advanced sandboxing technique for detection. It also uses the application rating and provider reputation into account, so as to filter out the input given to the system, this mechanism if implemented efficiently, in long run can be a very effective method to detect the malware when an application is published on the application stores.
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Andoor, J.T. (2015). A Filtering Based Android Malware Detection System for Google PlayStore. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_63
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DOI: https://doi.org/10.1007/978-3-319-11933-5_63
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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