A Systematic Evaluation of Android Anti-Malware Tools for Detection of Contemporary Malware
Author:
Affiliation:
1. National University of Sciences and Technology,Department of Information Security,Islamabad,Pakistan
Funder
Higher Education Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9741746/9741859/09741861.pdf?arnumber=9741861
Reference41 articles.
1. DL-Droid: Deep learning based android malware detection using real devices
2. Malware Detection and Classification Based on N-Grams Attribute Similarity
3. TinyDroid: A Lightweight and Efficient Model for Android Malware Detection and Classification
4. AppFA: A Novel Approach to Detect Malicious Android Applications on the Network
5. RoughDroid: Operative Scheme for Functional Android Malware Detection
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