Hardening the IoT Edge: A TRADES-Based Approach for Robust Network Intrusion Detection
Deep-learning-based Network Intrusion Detection Systems (NIDS) play a vital role in protecting Internet of Things (IoT) environments; however, they remain vulnerable to adversarial examples, in which small input perturbations can cause misclassification. Previous research has considered that there exists a trade-off be...