Entropy-Based Feature Grouping in Machine Learning for Android Malware Classification

Author:

Shim HyunseokORCID,Jung SouhwanORCID

Publisher

Springer International Publishing

Reference26 articles.

1. Statista, Mobile operating systems’ market share worldwide from January 2012 to July 2019. https://www.statista.com/statistics/272698/global-market-share-held-by-mobile-operating-systems-since-2009/. Accessed Jan 2020

2. IDC, Smartphone Market Share. https://www.idc.com/promo/smartphone-market-share/os. Accessed Jan 2020

3. Forbes, Many Popular Android Apps Leak Sensitive Data, Leaving Millions Of Consumers At Risk https://www.forbes.com/sites/ajdellinger/2019/06/07/many-popular-android-apps-leak-sensitive-data-leaving-millions-of-consumers-at-risk/#69643a7b521e. Accessed Jan 2020

4. Nokia, Threat Intelligence Report 2019. https://blog.drhack.net/wp-content/uploads/2018/12/Nokia_Threat_Intelligence_Report_White_Paper_EN.pdf

5. Vafaie, H., De Jong, K.: Genetic algorithms as a tool for feature selection in machine learning. In: 4th International Conference on Tools with Artificial Intelligence TAI 1992, pp. 200–203 (1992)

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