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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sir Syed University of Engineering and Technology, Karachi.
2023-12-01
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| Series: | Sir Syed University Research Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/584 |
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