Network intrusion detection using machine learning approaches: Addressing data imbalance

Research article (IET Cyber-Physical Systems Theory & Applications, 2021) · cited 28× · AI/ML
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Network intrusion detection using machine learning approaches: Addressing data imbalance

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Network intrusion detection using machine learning approaches: Addressing data imbalance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Network intrusion detection using machine learning approaches: Addressing data imbalance. Retrieved May 24, 2026, from https://4ort.xyz/entity/network-intrusion-detection-using-machine-learning-approaches-addressing-data-imbalance
MLA “Network intrusion detection using machine learning approaches: Addressing data imbalance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/network-intrusion-detection-using-machine-learning-approaches-addressing-data-imbalance.
BibTeX @misc{4ortxyz_network-intrusion-detection-using-machine-learning-approaches-addressing-data-imbalance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Network intrusion detection using machine learning approaches: Addressing data imbalance}}, year = {2026}, url = {https://4ort.xyz/entity/network-intrusion-detection-using-machine-learning-approaches-addressing-data-imbalance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Network intrusion detection using machine learning approaches: Addressing data imbalance — https://4ort.xyz/entity/network-intrusion-detection-using-machine-learning-approaches-addressing-data-imbalance (retrieved 2026-05-24)

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