Q. Doan

Evaluating the Robustness and Transferable Adversarial Example Resistance of Multimodal Learning-based Intrusion Detection Systems against Evasion Attacks

This study evaluates the robustness of multimodal learning-based IDS against transferable adversarial examples (AEs) generated by Generative Adversarial Networks (GANs) and integrates adversarial training techniques to enhance the IDS’s capability to identify attack patterns with small perturbations.