On Early Detection of Anomalous Network Flows

On Early Detection of Anomalous Network Flows

There are numerous methods of identifying network-based attacks using machine learning, but processing complexity often constrains it to analyses of previously captured traffic to retroactively identify attacks. This paper investigates machine learning for early detection of attacks in progress with...

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Bibliographic Details
Main Authors: Garett T. Fox, Rajendra V. Boppana
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
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machine learning
multilayer perceptron
network security
Online Access:https://ieeexplore.ieee.org/document/10171350/

Internet

https://ieeexplore.ieee.org/document/10171350/

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