Network intrusion detection using machine learning approaches: Addressing data imbalance

Network intrusion detection using machine learning approaches: Addressing data imbalance

Abstract Cybersecurity has become a significant issue. Machine learning algorithms are known to help identify cyberattacks such as network intrusion. However, common network intrusion datasets are negatively affected by class imbalance: the normal traffic behaviour constitutes most of the dataset, w...

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Bibliographic Details
Main Authors: Rahbar Ahsan, Wei Shi, Jean‐Pierre Corriveau
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:IET Cyber-Physical Systems
Subjects:
security of data
data mining
pattern classification
deep learning (artificial intelligence)
sampling methods
Online Access:https://doi.org/10.1049/cps2.12013

Internet

https://doi.org/10.1049/cps2.12013

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