Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning

Network intrusion detection focuses on classifying network traffic as either normal or attack carrier. The classification is based on information extracted from the network flow packets. This is a complex classification problem with unbalanced datasets and noisy data. This work extends the classic r...

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Autores principales: Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Juan Ignacio Arribas, Belen Carro
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/4c5892a1fbab46b99d8583544066a80e
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