MATEC Web Conf.
Volume 255, 2019Engineering Application of Artificial Intelligence Conference 2018 (EAAIC 2018)
|Number of page(s)||7|
|Section||Deep Learning and Big Data Analytic|
|Published online||16 January 2019|
Permission-based Analysis of Android Applications Using Categorization and Deep Learning Scheme
Centre of Postgraduate Studies, Limkokwing University of Creative Technology, Jalan Teknokrat 1/1, Cyberjaya, 63000 Cyberjaya, Selangor, Malaysia
* Corresponding author: firstname.lastname@example.org
As mobile devices grow in popularity, they have become indispensable in people's daily lives, keeping us connected to social networks, breaking news, and the entire Internet. While there are multiple competing platforms, Google's Android is currently the most popular operating system for mobile devices. This popularity has drawn attention of hackers as well. Thus far, research works have analysed Android permissions individually, which makes analysis complex and time consuming. In this work, we propose categorizing Android permissions based on Google's recommendation and perform LSTM analysis on data. The used datasets are Drebin and AndroZoo, which are the most complete and well-respected among research community. The experiment results show that LSTM achieved 91% of true positive rate.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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