Data set and machine learning models for the classification of network traffic originators

The widespread adoption of encryption in computer network traffic is increasing the difficulty of analyzing such traffic for security purposes. The data set presented in this data article is composed of network statistics computed on captures of TCP flows, originated by executing various network str...

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Detalles Bibliográficos
Autores principales: Canavese, Daniele, Regano, Leonardo, Basile, Cataldo, Ciravegna, Gabriele, Lioy, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920864/
https://www.ncbi.nlm.nih.gov/pubmed/35300388
http://dx.doi.org/10.1016/j.dib.2022.107968

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920864/
https://www.ncbi.nlm.nih.gov/pubmed/35300388
http://dx.doi.org/10.1016/j.dib.2022.107968

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