Deep Learning–Based Network Anomaly Detection in Cyber-Physical Systems Using Edge Hardware and Cloud Intelligence
Modern network infrastructures have become highly vulnerable due to the rapid development of cyber-physical systems (CPS). This is because the constant creation of high-volume, high-velocity data streams requires real-time anomaly detection, which is highly computationally intensive and latency-sensitive. Although rece...