Deep learning for network intrusion: A hierarchical approach to reduce false alarms

Deep learning for network intrusion: A hierarchical approach to reduce false alarms

Computer networks form much of the infrastructure supporting day-to-day life in this digital age. Computer networks, however, are prone to attack and therefore require intrusion detection systems. Intrusion detection systems provide a mechanism to detect network attacks at an early stage and generat...

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Bibliographic Details
Main Authors: Samuel J. Moore, Federico Cruciani, Chris D. Nugent, Shuai Zhang, Ian Cleland, Sadiq Sani
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Intelligent Systems with Applications
Subjects:
Deep learning
Machine learning
Network intrusion
Network security
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323000406

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http://www.sciencedirect.com/science/article/pii/S2667305323000406

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