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

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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Bibliographic Details
Main Authors: Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Juan Ignacio Arribas, Belen Carro
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Communication system security
intrusion detection
neural networks
radial basis function networks
Online Access:https://ieeexplore.ieee.org/document/9612220/

Internet

https://ieeexplore.ieee.org/document/9612220/

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