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

Author:

Ashraf Zeeshan1ORCID,Mahmood Zahid2ORCID,Iqbal Muddesar3

Affiliation:

1. Department of Computer Science, The University of Chenab, Gujrat 50700, Pakistan

2. Department of Computer Science & IT, University of Kotli Azad Jammu & Kashmir, Azad Jammu and Kashmir, Kotli 11100, Pakistan

3. Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

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%.

Funder

Prince Sultan University, Saudi Arabia

Publisher

MDPI AG

Subject

Computer Networks and Communications

Reference49 articles.

1. An imperative role of 6G communication with perspective of industry 4.0: Challenges and research directions;Ghildiyal;Sustain. Energy Technol. Assess.,2023

2. Scalable blockchain model using off-chain IPFS storage for healthcare data security and privacy;Jayabalan;J. Parallel Distrib. Comput.,2022

3. Tawalbeh, L., Muheidat, F., Tawalbeh, M., and Quwaider, M. (2020). IoT Privacy and security: Challenges and solutions. Appl. Sci., 10.

4. Mohindru, V., Vashishth, S., and Bathija, D. (2022). Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 1, Springer.

5. Osama, M., Ateya, A.A., Sayed, M.S., Hammad, M., Pławiak, P., Abd El-Latif, A.A., and Elsayed, R.A. (2023). Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. Sensors, 23.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3