Open access
Aug 2026
Deep learning intrusion detection for software-defined networking using synthetic minority oversampling
This article proposes an advanced method for network intrusion detection using a combination of recurrent neural networks (RNNs), specifically long short-term memory (LSTM), gated recurrent units (GRU), and bidirectional long short-term memory (BiLSTM) models, enhanced by synthetic minority oversampling technique (SMOT...
Prajwalasimha Sindugatta Nagaraja, Navya Rajashekara, Pushpa Bangalore Ramesh et al.
· IAES International Journal o... · 0 citations