Mohd Dilshad Ansari

GAN-Augmented Intrusion Detection: A Feature-Wise Attention MLP Framework for Imbalanced Network Traffic

A GAN-Augmented Attention-Enhanced MLP intrusion detection system that uses Wasserstein Generative Adversarial Networks with Gradient Penalty to generate synthetic minority attacks that look real and is well suited for real-time intrusion detection and also for imbalanced network systems.