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International Journal of New Technology and Research

Impact Factor 3.953

(An ISO 9001:2008 Certified Online Journal)
India | Germany | France | Japan

Various Data Mining Techniques to Detect the Android Malware Applications: A Case Study

( Volume 5 Issue 6,June 2019 ) OPEN ACCESS

Rincy Raphael


Android has become the most popular smartphone operating system. This rapidly increasing adoption of Android has resulted in significant increase in the number of malwares when compared with previous years. There exist lots of antimalware programs which are designed to effectively protect the users’ sensitive data in mobile systems from such attack. But the attacking rate is increasing year by year. In this paper we conduct a survey of various datamining techniques conducted to analyse and detect the android malware applications. We also analysing the classification algorithm used, dataset size and accuracy of the system.


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