A Study of Network Intrusion Detection Systems Using Artificial Intelligence/Machine Learning

A Study of Network Intrusion Detection Systems Using Artificial Intelligence/Machine Learning

The rapid growth of the Internet and communications has resulted in a huge increase in transmitted data. These data are coveted by attackers and they continuously create novel attacks to steal or corrupt these data. The growth of these attacks is an issue for the security of our systems and represen...

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Bibliographic Details
Main Authors: Patrick Vanin, Thomas Newe, Lubna Luxmi Dhirani, Eoin O’Connell, Donna O’Shea, Brian Lee, Muzaffar Rao
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
Intrusion Detection Systems (IDS)
machine learning
network security
Intrusion Prevention Systems (IPS)
deep learning algorithms
Online Access:https://www.mdpi.com/2076-3417/12/22/11752

Internet

https://www.mdpi.com/2076-3417/12/22/11752

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