A data-driven cognitive cyber-physical systems for cyber threat mitigation in medical internet of things

This study proposes a Data-Driven Cognitive Cyber-Physical System (C-CPS) for efficient cyber threat mitigation in MIoT networks that combines a hybrid approach of Convolutional Neural Networks for feature extraction and Long Short-Term Memory networks for temporal anomaly detection, achieving high accuracy.