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Journal article

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

Md. Tamim Hasan Saykat, Md. Ehsanul Haque, Fahmid Al Farid, Rakib Hossen, Jia Uddin, Hezerul Bin Abdul Karim

Scientific Reports, 2026

Group members
Dr. Fahmid Al Farid

BibTeX

@article{saykat2026efficient,
  title = {{An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization}},
  author = {Md. Tamim Hasan Saykat and Md. Ehsanul Haque and Fahmid Al Farid and Rakib Hossen and Jia Uddin and Hezerul Bin Abdul Karim},
  journal = {Scientific Reports},
  year = {2026},
  doi = {10.1038/s41598-026-58514-x}
}