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...

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Detalles Bibliográficos
Autores principales: Campazas-Vega, Adrián, Crespo-Martínez, Ignacio Samuel, Guerrero-Higueras, Ángel Manuel, Álvarez-Aparicio, Claudia, Matellán, Vicente, Fernández-Llamas, Camino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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