A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks

Software-defined networking (SDN) has gained tremendous growth and can be exploited in different network scenarios, from data centers to wide-area 5G networks. It shifts control logic from the devices to a centralized entity (programmable controller) for efficient traffic monitoring and flow managem...

Descripción completa

Detalles Bibliográficos
Autores principales: Latif, Zohaib, Umer, Qasim, Lee, Choonhwa, Sharif, Kashif, Li, Fan, Biswas, Sujit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658740/
https://www.ncbi.nlm.nih.gov/pubmed/36366129
http://dx.doi.org/10.3390/s22218434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658740/
https://www.ncbi.nlm.nih.gov/pubmed/36366129
http://dx.doi.org/10.3390/s22218434

Ejemplares similares