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
- Themes
- Explainable AI, Deep Learning
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}
}