Device-Centric Lightweight Authentication With Dynamic Addition and User Revocation for the Internet of Medical Things on B5G Networks

초록

Epidemic-prone diseases transforming the regular activities of people and health systems have become unprecedented events around the world. In the event of health emergencies like COVID-19, device-centric applications can expand communications capacities and global connectivity using technologies to meet the competitive requirements of healthcare IT. Most computing applications use integrated sensors, mobile networks, and services of the Internet of Things (IoT) to disseminate sensitive information via beyond fifth-generation (B5G) networks to edge computing systems. However, among the services of the Internet of Medical Things (IoMT), and dedicated information systems must address various challenging device-connectivity issues (in terms of integrity, security, and privacy) when any patient's device exchanges confidential information with a medical expert. Most of the existing techniques rely on open wireless communications, and there is the possibility of unauthorized access to interactions among sensors and computing servers, as well as potential risks such as ransomware and side-channel attacks. Thus, in this paper, a framework for device-centric lightweight authentication with dynamic addition and revocation (DC-LADAR) is proposed as an access-control mechanism to establish a shared session key with authorized servers and to ensure secure connectivity in dynamic IoMT environments. In particular, integrated devices utilizing the features of lightweight authentication handle large groups of users via proper revocation to protect their computing data in the cloud. The proposed DC-LA assigns a unary token that maintains secure key management between the implantable devices and a mobile edge computing (MEC) server to enhance network security. The proposed DC-LADAR minimizes the computation and communication overhead of IoMT-enabled networks to achieve better transmission efficiency. © 2013 IEEE.

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