"Anomaly and intrusion detection using deep learning for software-defined ..."

Vitor G. da Silva Ruffo et al. (2024)

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DOI: 10.1016/J.ESWA.2024.124982

access: closed

type: Journal Article

metadata version: 2024-09-08

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Vitor G. da Silva Ruffo, Daniel M. Brandão Lent, Mateus Komarchesqui, Vinícius Ferreira Schiavon, Marcos Vinicius Oliveira de Assis, Luiz Fernando Carvalho, Mario Lemes Proença Jr.:
Anomaly and intrusion detection using deep learning for software-defined networks: A survey. Expert Syst. Appl. 256: 124982 (2024)

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