Catch Me If You Can: Evaluating Android Anti-Malware Against Transformation Attacks

Author:

Rastogi Vaibhav,Chen Yan,Jiang Xuxian

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 116 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FAMCF: A few-shot Android malware family classification framework;Computers & Security;2024-11

2. Securing Android IoT devices with GuardDroid transparent and lightweight malware detection;Ain Shams Engineering Journal;2024-05

3. A Comparative Analysis of Android Malware Detection Using Deep Learning;Communications in Computer and Information Science;2023-12-03

4. A Comparative Analysis of IoT Malware Detection Using CNN and Deep Learning;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

5. Bypassing antivirus detection: old-school malware, new tricks;Proceedings of the 18th International Conference on Availability, Reliability and Security;2023-08-29

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