Mehmet Yavuz Yağcı

DEA-IDS: Drift-Aware Feature Selection and Few-Shot Adaptation for Cross-Domain IoT–IoMT Intrusion Detection

Intrusion Detection Systems (IDSs) are essential for securing Internet of Things (IoT) and Internet of Medical Things (IoMT) environments, yet most machine learning-based IDSs assume that training and testing data follow similar distributions. In practice, domain shifts arising from differences in device characteristic...