Deep Learning–Based Network Anomaly Detection in Cyber-Physical Systems Using Edge Hardware and Cloud Intelligence
A solid anomaly detection framework is proposed that uses deep learning, integrating edge computing and cloud intelligence to enable efficient, scalable, and adaptable threat detection and confirms the usefulness of the hybrid edge-cloud paradigm in enhancing the accuracy of detection, minimal response time, and high s...