Open access
Jul 2026
An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization
A hybrid SDN-based IDS framework that integrates Generative Adversarial Networks (GANs) to handle imbalanced datasets, one-way ANOVA and Genetic Algorithm for feature selection, baseline classifier optimization using Grid Search and Explainable AI techniques to achieve robust, accurate, and interpretable intrusion detection.
Md. Tamim Hasan Saykat, Md. Ehsanul Haque, Fahmid Al Farid et al.
· Scientific Reports · 0 citations