Anomaly detection of internet of medical things cyberattacks using federated learning
Devices connected to the Internet of Medical Things (IoMT) handle sensitive patient data under strict privacy and resource constraints. Centralized intrusion detection introduces privacy risks and communication bottlenecks, while existing Federated Learning (FL) solutions struggle with class imbalance and data hete...
Sarah Alfayz, Sara AlRasheed, Maha Al-Marri et al.
· Scientific Reports · 0 citations