EnsembleDroid: A Malware Detection Approach for Android System based on Ensemble Learning
Author:
Affiliation:
1. Stony Brook University,College of Engineering and Applied Sciences,Stony Brook,NY,11794
2. New York Institute of Technology,Department of Computer Science,New York,NY,10023
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10002168/10002169/10002213.pdf?arnumber=10002213
Reference22 articles.
1. Malware Detection in Adversarial Settings
2. Adversarial-Example Attacks Toward Android Malware Detection System
3. DL-Droid: Deep learning based android malware detection using real devices
4. AdversarialDroid: A Deep Learning based Malware Detection Approach for Android System Against Adversarial Example Attacks
5. DroidDeepLearner: Identifying Android malware using deep learning
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2. SafeDroid: Safeguarding Android Mobile Phones from Adware and Banking Maldroid Attacks;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15
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