DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model

Author:

Zhu Hui-Juan,You Zhu-Hong,Zhu Ze-Xuan,Shi Wei-Lei,Chen Xing,Cheng Li

Funder

Thousand Talents Plan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference49 articles.

1. O S. Smartphone, Market Share Q2, 2016. Framingham, MA: IDC Corporate USA, 2016. http://www.idc.com/prodserv/smartphone-os-market-share.jsp.

2. Crowdroid: behavior-based malware detection system for android;Burguera,2011

3. DroidMat: android malware detection through manifest and API calls tracing;Wu,2012

4. Riskranker: scalable and accurate zero-day android malware detection;Grace,2012

5. Motive Security Labs H1 2015 Malware Report, https://resources.ext.nokia.com/asset/189669, 2015.

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