Dr.J.Lenin

Information-driven medical services and Continuous patient health monitoring are allowed by the combination of cloud technologies, medical devices, the Internet of Medical Things (IoMT), and intelligent analytics in industrial cyber-physical healthcare systems. These networked settings are vulnerable to confidentiality ruins, prohibited access, data breaches, and cyber threats. According to current reviews, integrating blockchain technology with deep learning is a better way to protect healthcare data. While blockchain provides decentralized, tamper-proof, and transparent data management, deep learning permits intelligent intrusion detection, anomaly prediction, and real-time threat identification. In this paper, A review is conducted to examine the works on blockchain-enabled medical data protection, deep learning-based healthcare security, and hybrid architecture for vigorous medical information management in industrial cyber-physical healthcare systems.