Lightweight Privacy-Preserving Remote User Authentication and Key Agreement Protocol for Next-Generation IoT-Based Smart Healthcare

Zeeshan Ashraf (), Zahid Mahmood and Muddesar Iqbal ()
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Zeeshan Ashraf: Department of Computer Science, The University of Chenab, Gujrat 50700, Pakistan
Zahid Mahmood: Department of Computer Science & IT, University of Kotli Azad Jammu & Kashmir, Azad Jammu and Kashmir, Kotli 11100, Pakistan
Muddesar Iqbal: Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

Future Internet, 2023, vol. 15, issue 12, 1-16

Abstract: The advancement and innovations in wireless communication technologies including the Internet of Things have massively changed the paradigms of health-based services. In particular, during the COVID-19 pandemic, the trends of working from home have been promoted. Wireless body area network technology frameworks help sufferers in remotely obtaining scientific remedies from physicians through the Internet without paying a visit to the clinics. IoT sensor nodes are incorporated into the clinical device to allow health workers to consult the patients’ fitness conditions in real time. Insecure wireless communication channels make unauthorized access to fitness-related records and manipulation of IoT sensor nodes attached to the patient’s bodies possible, as a result of security flaws. As a result, IoT-enabled devices are threatened by a number of well-known attacks, including impersonation, replay, man-in-the-middle, and denial-of-service assaults. Modern authentication schemes do solve these issues, but they frequently involve challenging mathematical concepts that raise processing and transmission costs. In this paper, we propose a lightweight, secure, and efficient symmetric key exchange algorithm and remote user authentication scheme. Our research proposal presents a successful privacy-protecting method for remote users and provides protection against known attacks. When compared to conventional options, this technique significantly reduces calculation costs by up to 37.68% and transmission costs by up to 32.55%.

Keywords: authentication; healthcare; IoT; key agreement; next-generation network; security (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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