Author:
Cai Minghui,Jiang Yuan,Gao Cuiying,Li Heng,Yuan Wei
Funder
National Natural Science Foundation of China
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference22 articles.
1. Significant permission identification for machine-learning-based Android malware detection;Li;IEEE Trans. Ind. Inform.,2018
2. G. DATA, 8,400 new android malware samples every day. [Online]. Available: https://www.gdatasoftware.com/blog/2017/04/29712-8-400-new-android-malware-samples-every-day.
3. Detection of malicious behavior in android apps through API calls and permission uses analysis;Yang;Concurrency and Computation: Practice and Experience,2017
4. A machine learning based approach to detect malicious android apps using discriminant system calls;Vinod;Future Generation Computer Systems,2019
5. Adversarial-example attacks toward android malware detection system;Li;IEEE Systems Journal,2019
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