## 1 Introduction  
The Internet of Things (IoT) offers a seamless way to connect people, devices, applications, and platforms [1] for communication, participation, and collaboration purposes [2, 3, 4]. The IoT is a recent paradigm in the wireless communication field, which comprises smart appliances with a digital entity that can universally connect to a network and the Internet [5]. Smart devices can adapt intellect and the capability to sense, understand, and respond to their environment, leveraging evolving technologies [6] and Global Positioning Systems (GPS) with positioning algorithms [7]. The GPS is useful for obtaining location and positioning information. Embedded sensors can also be integrated to collect data for desired analyses [8] as well as enable machine-to-machine communication [9]. The intelligent systems in IoT systems most often need integration stages such as calibration, filtering, amplification, or compensation of signals from different sensors. The cloud usually reinforces IoT systems to solve the problems of data access, storage, scalability, and computing through services that provide various cloud computing architectures. The IoT has been incorporated into industrial manufacturing, Intelligent Transportation Systems (ITS), agriculture, healthcare systems, smart grid, home automation, food supply-chain, and mission-critical applications [10; 11]. The amalgamation of IoT and medical systems birthed the Internet of Medical Things (IoMT) [12]. The IoMT has made activities such as real-time drug prescription, patient monitoring, real-time diagnosis of patients, and a host of other services in the healthcare system, which otherwise require the physical presence of healthcare workers and patients, possible remotely [12]. This amalgamation of the IoT and medical systems has both immediate and future benefits. The risk of getting infected during a pandemic such as COVID-19 can be greatly reduced since activities that involve people having contact with one another, such as the learning and evaluation of students, can be done using online platforms [13], and online business meetings which are possible through the Internet can replace physical ones [14]. The effective control of the spreading of disease can be achieved with the aid of IoT sensors, optical cameras, temperature detectors, and other IoT-enabled devices that can be used to detect and report the location of infected persons. Thus, the spread of disease can be controlled at the primary stage [15]. Other benefits that come with this amalgamation include connected hospitals (where data from different hospitals, such as treatment procedures, death rates, and the number of seats available for a new patient, can be readily accessible [16; 17] via the IoMT platform), telehealth, and remote monitoring of patients [18; 19]. All these great advantages and the promising future nature of the IoMT are very admirable. However, connecting an innumerable number of remotely controlled smart devices through the Internet increases users' security and privacy risk [9]. Applying protected communication in the IoMT and integrating security machinery into its devices involve many challenges [20] and have been the main obstructions to its progress. The characteristics of the security requirements of IoMT are capable of addressing almost all its security issues, such as confidentiality, among others [21]. Despite various solutions in the literature that address the security issues of IoMT, maintaining the confidentiality of patients' information in the IoMT still requires much attention [22], as people are still reluctant to provide critical user data or authorization to a server where such data could be accessed. Moreover, hackers can use a botnet [23] to hijack patients' information via the administration of IoT-based gadgets [24; 25; 26; 27]. Therefore, the IoMT model that secures both IoMT gadgets and medical information is highly needed.