A Defensive Strategy Against Android Adversarial Malware Attacks

Due to the popularity of Android mobile devices over the past ten years, malicious Android applications have significantly increased. Systems utilizing machine learning techniques have been successfully applied for Android malware detection to counter the constantly changing Android malware threats....

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Principais autores:	Fabrice Setephin Atedjio, Jean-Pierre Lienou, Frederica F. Nelson, Sachin S. Shetty, Charles A. Kamhoua
格式:	Artigo
語言:	Inglês
出版:	IEEE 2024-01-01
叢編:	IEEE Access
主題:	Adversarial attack Carlini-Wagner attack generative adversarial network android adversarial malware
在線閱讀:	https://ieeexplore.ieee.org/document/10747362/
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