Few-Shot Learning Based on CCGAN-CNN in Android Malware Classification
Author:
Affiliation:
1. Xi’an University of Technology,Department of Network Engineering,Xi’an,China
2. Xi’an University of Technology,Department of Applied Physics,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498589.pdf?arnumber=10498589
Reference14 articles.
1. Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
2. A Survey of Malware Detection Techniques based on Machine Learning
3. Android malware detection using deep learning methods;Robert;International Colloquium on Enabling Technologies: Infrastructure for Collaborative Enterperises,2021
4. An information-flow tracking system for real-time privacy monitoring on smartphones;Enck
5. A methodology for empirical analysis of permission-based security models and its application to android
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