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.

Summary A unique chaotic spreading sequence‐based MC‐CDMA (multi‐carrier code division multiple accesses) is studied in this article. By employing this spreading sequence, interference effect that is inherent in a multi‐user environment can be lessened by deciding on the spreading series with suitable cross‐correlation properties. The simulation study exhibits that chaotic sequence‐based MC‐CDMA acts well in a multiuser setting, resulting in better attainable error rates. Moreover, results confirm that chaotic sequence‐based MC‐CDMA beats the Walsh Hadamard code spreading‐based MC CDMA system. The inception of MIMO (Multiple Input Multiple Output) scheme leads to the augment in the number of antennas that are present in the transmitting in addition to receiving side. This induces an enhancement in the throughput and the robustness of the communication system. Further, the simulation outcomes exhibit that the suggested technique is far beneficial in the context of combating MAI (multiple access interference) and aids to achieve performance amelioration concerning the utility of approximately 9%.