When applied to the healthcare business, the Internet of Medical Things (IoMT) is an extension of the Internet of Things (IoT) concept. Services can be implanted over the human body in the IoMT framework, which generates sensitive and private data that must be processed at several places for diagnostic, analytical, therapy, and learning reasons. This helps the healthcare business in a variety of ways. On the other side, it exacerbates a number of security issues and raises worries about privacy. The goal is to secure the IoMT infrastructure from end to end, including devices (such as wearables, storage, and gadgets), communication routes, and data.In addition to security, we also have to consider the sensitiveness of the data and provide privacy-related solutions.

To protect the IoMT system, a variety of security solutions are used, including blockchain, deep learning methods, access control mechanisms, intrusion detection and prevention systems, cryptographic algorithms, keyless techniques, smart card or token-based security, Artificial Intelligence, and machine learning approaches. The IoMT industry's rapid growth has resulted in new assaults and weaknesses for attackers and malevolent users Limited research efforts that could address the security concerns have been found, and a suggestion for improving IoMT security has been proposed. Thus, it is essential to investigate new security solutions and attack detection tools to protect the developed system.

The purpose of this special area is to compile high-quality studies and continue research on the above-mentioned issue. The study project addresses the IoMT industry's current taxonomy and security concerns. Researchers, developers, and practitioners from academia and industry are invited to submit novel research articles, both theoretical and experimental.