Trust management in the Internet of medical things

ABSTRACT

In recent years, as a new technology based on the extensive connection of objects in heterogeneous networks, the Internet of Things (IoT) paradigm has been introduced and has attracted people's attention. We propose a robust management model of the IoMT network based on social media concepts and priority standards. The rapid development of Internet of things (IoT) technology in the field of health care has brought a variety of security threats and risks. With the increasing use of sensor objects in the medical field, providing comprehensive protection has become a major challenge, which has led to the emergence of the Internet of things. The definition of Internet of Medical Things is that medical devices are connected with each other and IT infrastructure of the organization through Internet. It is a serious problem and said the problem is increasing day by day due to more security, privacy, and confidentiality issues. In addition, it uses the capabilities of available equipment to improve the health of patients. IoMT also offers many opportunities to innovate health care and provide multiple options for precision surgery. OSN can benefit many sensitive applications, such as e-health and medical services. The emerging field of the Internet of medical things (IoMT) is promoting trust between various IoMT devices to ensure accurate and reliable communication, which is very important for major diseases such as COVID-19. To cope with this situation, a trust management mechanism called a fuzzy trust management mechanism is proposed to prevent Sybil attacks on the Internet of medical things (FTM-IoMT). The IoMT security can be enhanced through multifactor verification based on fuzzy logic and fuzzy filtering processing. Compared with more advanced methods, the proposed scheme shows better results. The main goal is to study the dynamic environment in the medical field and to realize adaptive access control. The security of the IoMT system is gradually improving. It reduces communication delays, proactively manages security risks, and ensure data protection for patients and doctors in health care. © 2023 Elsevier Inc. All rights reserved.