A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs
This study proposes an innovative intrusion detection system for Android malware based on a zero-shot learning GAN approach. Our system achieved an accuracy of 99.99%, indicating that this approach can be highly effective for identifying intrusion events. The proposed approach is particularly valua...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Sir Syed University of Engineering and Technology, Karachi.
2023-12-01
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| Sarja: | Sir Syed University Research Journal of Engineering and Technology |
| Aiheet: | |
| Linkit: | http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/584 |
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