Feedback guided decision boundary adaptation for stable IoT intrusion detection under distribution shift
Intrusion detection in Internet of Things (IoT) environments is challenging under distribution shift because static detectors may lose sensitivity, whereas continuous model retraining can increase computational cost and temporal variability. This study investigates a lightweight alternative in which the classifier rema...