An Improved AI-Based Secure M-Trust Privacy Protocol for Medical Internet of Things in Smart Healthcare System

Medical Internet of Things (MIoT) is a rapidly growing field that promises to revolutionize health care. The ability to connect devices and collect data from them has the potential to transform the way it monitors and treat patients. However, the security and privacy of this data is a major concern. The cryptography and other conventional methods for security in resource constrained MIoT has several shortcomings. First, it does not provide adequate protection for patient data. Second, it is not designed to work with the large number of devices and huge volumes of data that are typically generated in MIoT applications. In this article, secure M-Trust privacy protocol (SMP) has been designed to address these issues. The SMP protocol uses a combination of trust, cryptographic, and machine learning techniques to provide security and privacy for data in transit. The SMP protocol has been designed to work with the smart health care monitoring system to provide a secure and private communication channel between devices in the system. The SMP protocol is an improvement over the existing security and privacy protocols for medical data. The simulation results proves that the SMP protocol is more efficient and scalable than the existing protocols. The SMP protocol is a valuable addition to the MIoT landscape and can help improve the privacy of data exchanged between medical devices.