Quantum-Blockchain Healthcare System for Invasive and No-Invasive-IoMT Data

These days, the Internet of Medical Things (IoMT) is a new paradigm where different bio-sensors, such as invasive and non-invasive, generate data to monitor the healthcare of the human body. However, the IoMT application consisted of sensor data (e.g., pacemaker heartbeat detection, blood pressure monitoring, and ingestible gas). These sensor data must be connected to the remote server for decision-making and analysis. Therefore, security and processing time are key issues for IoMT applications in distributed fog cloud networks. This paper presents the Quantum-Blockchain Healthcare System for Invasive and Non-Invasive IoMT Data. The paper has dual objectives: to minimize the processing time and security risk of IoMT data in distributed fog cloud networks and to design a novel quantum blockchain for IoMT application. In this paper, we present quantum key distribution blockchain scheduling (QKDBS), which consists of local scheduling of sensor data and remote scheduling with the quantum blockchain key distribution in the system. Simulations show that QKDBS works better than any other blockchain or quantum method for running IoMT applications on network nodes that are spread out.