Azizi Ariffin

Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation

This work presents an adaptive IDS framework coupling a tabular transformer encoder with a class balanced experience replay buffer that replays benign traffic at every update to stabilize decision boundaries, and investigates the buffer with overt label flipping and stealthy backdoor poisoning attacks.