Abstract
Many patients have begun to use mobile applications to handle different health needs because they can better access high-speed Internet and smartphones. These devices and mobile applications are now increasingly used and integrated through the medical Internet of Things (mIoT). mIoT is an important part of the digital transformation of healthcare, because it can introduce new business models and allow efficiency improvements, cost control and improve patient experience. In the mIoT system, when migrating from traditional medical services to electronic medical services, patient protection and privacy are the priorities of each stakeholder. Therefore, it is recommended to use different user authentication and authorization methods to improve security and privacy. In this paper, our prosed model involves a shared identity verification process with different situations in the e-health system. We aim to reduce the strict and formal specification of the joint key authentication model. We use the AVISPA tool to verify through the well-known HLPSL specification language to develop user authentication and smart card use cases in a user-friendly environment. Our model has economic and strategic advantages for healthcare organizations and healthcare workers. The medical staff can increase their knowledge and ability to analyze medical data more easily. Our model can continuously track health indicators to automatically manage treatments and monitor health data in real time. Further, it can help customers prevent chronic diseases with the enhanced cognitive functions support. The necessity for efficient identity verification in e-health care is even more crucial for cognitive mitigation because we increasingly rely on mIoT systems.
Highlights
The Internet of Things (IoT) is a network of low-power devices embedded with sensors, actuators, software, and network connections that can collect and exchange data autonomously [1]
Proof: An impersonation attack occurs when an unauthorized user sends a message to the recipient on behalf of an authorized user. This happens when the adversary tracks the identity of the user Ui, but the solution we proposed in our method is to save the biometric information in the database and communicate through messages with biometric identities, which is impossible for the adversary
We propose a mutual authentication scheme, which provides a dynamic solution for the selection of multiple factors when accessing the electronic health system
Summary
The Internet of Things (IoT) is a network of low-power devices embedded with sensors, actuators, software, and network connections that can collect and exchange data autonomously [1]. The mutual authentication between the user and the server using the three key factor protocol may help build a reliable mIoT system. In [7], surveys and interview responses indicate that users trust system authentication using mutual key factors, but there should be a reliable mechanism that allows users to authenticate and access electronic medical systems based on the criticality and type of users. Agreements including data transmission, authorized use, and involving authorized users and their informed consent must be defined in clear and simple language. This will increase patient trust and consider all responsibilities related to patient data in detail so that responsibilities can be tracked [8,9].
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