Aastha Ahlawat

An Adaptive Defense Framework for Enhancing Adversarial Robustness in Deep Learning-based Network Intrusion Detection Systems

This study investigated the robustness of deep learning-based Network Intrusion Detection Systems (NIDS) against adversarial attacks by proposing a confidence-aware adaptive defense framework. The proposed approach integrates a baseline feedforward neural network, an adversarially trained robust model, and an adversari...