A lightweight anomaly detection model for network traffic using multi scale spatio temporal residual learning
Abstract With the continuous upgrading of network attacks, network abnormal traffic detection has become a key technology to ensure network security. However, existing detection methods still face challenges in handling large-scale network traffic, solving the category imbalance problem, and improvi...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2025-07-01
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| Colección: | Scientific Reports |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1038/s41598-025-05190-y |
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