An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization.
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| Title: | An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization. |
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| Authors: | Saykat, Md. Tamim Hasan1 (AUTHOR), Haque, Md. Ehsanul2 (AUTHOR), Farid, Fahmid Al3,4 (AUTHOR), Hossen, Rakib5,6 (AUTHOR) rakib0001@uftb.ac.bd, Uddin, Jia7 (AUTHOR), Karim, Hezerul Bin Abdul3 (AUTHOR) hezerul@mmu.edu.my |
| Source: | Scientific Reports. 7/9/2026, Vol. 16 Issue 1, p1-30. 30p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-026-58514-x |
