AAGAN: Android Malware Generation System Based on Generative Adversarial Network
With the rapid evolution of mobile malware, especially Android malware, machine learning (ML)-based Android malware detection systems have drawn massive attention. Although ML algorithms have recently led to many vital breakthroughs in malware detection, they are still particularly vulnerable to adv...
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| Κύριοι συγγραφείς: | , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
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World Scientific Publishing
2024-05-01
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| Σειρά: | Vietnam Journal of Computer Science |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.worldscientific.com/doi/10.1142/S2196888824500039 |
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