Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning
With the growing complexity and frequency of network threats, anomaly detection in network traffic has become a vital task for ensuring cybersecurity. Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-06-01
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| coleção: | Applied Sciences |
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| Acesso em linha: | https://www.mdpi.com/2076-3417/15/11/6258 |
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