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Malicious traffic detection on sampled network flow data with novelty-detection-based models
Cyber-attacks are a major problem for users, businesses, and institutions. Classical anomaly detection techniques can detect malicious traffic generated in a cyber-attack by analyzing individual network packets. However, routers that manage large traffic loads can only examine some packets. These de...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507111/ https://www.ncbi.nlm.nih.gov/pubmed/37723267 http://dx.doi.org/10.1038/s41598-023-42618-9 |