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An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization

Crossref DOI link: https://doi.org/10.1038/s41598-026-58514-x

Published Online: 2026-07-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Saykat, Md. Tamim Hasan

Haque, Md. Ehsanul

Farid, Fahmid Al

Hossen, Rakib

Uddin, Jia

Karim, Hezerul Bin Abdul
Funding

Funding for this research was provided by:

Multimedia University (PostDoc(MMUI/240029))
License Information

Text and Data Mining valid from 2026-07-09

Version of Record valid from 2026-07-09
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Article History

Received: 3 January 2026

Accepted: 15 June 2026

First Online: 9 July 2026

Change Date: 27 August 2026

Change Type: Update

Change Details: The original online version of this Article was revised: The Data availability section was incomplete. The correct information now accompanies the original Article.

Declarations

Competing interest: The authors declare that they have no competing interest.

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