Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance
The proliferation of novel attacks and growing amounts of data has caused practitioners in the field of network intrusion detection to constantly work towards keeping up with this evolving adversarial landscape. Researchers have been seeking to harness deep learning techniques in efforts to detect z...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2023-07-01
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| coleção: | Machine Learning and Knowledge Extraction |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2504-4990/5/3/46 |
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