Android Malware Detection using LSI-based Reduced Opcode Feature Vector-Reference-Cited by-同舟云学术

Android Malware Detection using LSI-based Reduced Opcode Feature Vector

Published:2020 Issue: Volume:173 Page:291-298
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Singh Adarsh Kumar,Wadhwa Gandharv,Ahuja Mayank,Soni Keshav,Sharma Kapil

Publisher

Elsevier BV

Subject

General Engineering

Reference36 articles.

1. , (accessed January 26, 2020). desktop-mobile-tablet. https://gs.statcounter.com/platform-market-share/desktop-mobile-tablet.

2. , (accessed January 26, 2020). number-of-available-applications-in-the-google-play-store. https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/.

3. , (accessed January 26, 2020). os-market-share. https://gs.statcounter.com/os-market-share.

4. Aafer, Y., Du, W., Yin, H., 2013. Droidapiminer: Mining api-level features for robust malware detection in android, pp. 86–103. doi:10.1007/978-3-319-04283-1-6.

5. Arp, D., Spreitzenbarth, M., Hu¨bner, M., Gascon, H., Rieck, K., 2014. Drebin: Effective and explainable detection of android malware in your pocket. doi:10.14722/ndss.2014.23247.

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