Comparative Evaluation of VAEs, VAE-GANs and AAEs for Anomaly Detection in Network Intrusion Data
With cyberattacks growing in frequency and sophistication, effective anomaly detection is critical for securing networks and systems. This study provides a comparative evaluation of deep generative models for detecting anomalies in network intrusion data. The key objective is to determine the most...
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| Format: | Article |
| Language: | English |
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Politeknik Elektronika Negeri Surabaya
2023-12-01
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| Series: | Emitter: International Journal of Engineering Technology |
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| Online Access: | https://emitter.pens.ac.id/index.php/emitter/article/view/817 |