Experimental analysis of Android malware detection based on combinations of permissions and API-calls

Author:

Singh Abhishek Kumar,Jaidhar C. D.,Kumara M. A. Ajay

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Reference32 articles.

1. http://www.businessinsider.in/This-Chart-Shows-The-Massive-Pricing-Problem-Facing-Apples-iPhone-6/articleshow/39197536.cms . Accessed Oct 2016

2. https://techcrunch.com/2013/04/16/symantec-mobile-malware/ . Accessed Nov 2016

3. http://www.darkreading.com/mobile/android-app-permission-in-google-play-contains-security-flaw/d/d-id/1328834 . Accessed Jan 2017

4. https://www.eset.com/int/about/newsroom/research/fake-android-apps-bypass-google-play-store-security-installed-200000-times-in-a-month/ . Accessed Jan 2017

5. Chuang, H.-Y., Wang, S.-D.: Machine learning based hybrid behavior models for Android malware analysis. In: IEEE International Conference on Software Quality, Reliability and Security, pp. 201–206 (2015). https://doi.org/10.1109/QRS.2015.37

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