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Integration of Fog Computing for Health Record Management Using Blockchain Technology

by Mesfer AI Duhayyim1, Fahd N. Al-Wesabi2, Radwa Marzouk3, Abdalla Ibrahim Abdalla Musa4, Noha Negm5, Anwer Mustafa Hilal6, Manar Ahmed Hamza6,*, Mohammed Rizwanullah6

1 Department of Natural and Applied Sciences, College of Community Aflaj, Prince Sattam Bin Abdulaziz University, Saudi Arabia
2 Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia & Faculty of Computer and IT, Sana'a University, Yemen
3 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Saudi Arabia & Department of Mathematics, Faculty of Science, Cairo University, Giza, 12613, Egypt
4 Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia
5 Department of Computer Science, King Khaled University, KSA & Faculty of Science, Department of Mathematics and Computer Science, Menoufia University, Egypt
6 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia

* Corresponding Author: Manar Ahmed Hamza. Email: email

Computers, Materials & Continua 2022, 71(2), 4135-4149. https://doi.org/10.32604/cmc.2022.022336

Abstract

Internet of Medical Things (IoMT) is a breakthrough technology in the transfer of medical data via a communication system. Wearable sensor devices collect patient data and transfer them through mobile internet, that is, the IoMT. Recently, the shift in paradigm from manual data storage to electronic health recording on fog, edge, and cloud computing has been noted. These advanced computing technologies have facilitated medical services with minimum cost and available conditions. However, the IoMT raises a high concern on network security and patient data privacy in the health care system. The main issue is the transmission of health data with high security in the fog computing model. In today's market, the best solution is blockchain technology. This technology provides high-end security and authentication in storing and transferring data. In this research, a blockchain-based fog computing model is proposed for the IoMT. The proposed technique embeds a block chain with the yet another consensus (YAC) protocol building security infrastructure into fog computing for storing and transferring IoMT data in the network. YAC is a consensus protocol that authenticates the input data in the block chain. In this scenario, the patients and their family members are allowed to access the data. The empirical outcome of the proposed technique indicates high reliability and security against dangerous threats. The major advantages of using the blockchain model are high transparency, good traceability, and high processing speed. The technique also exhibits high reliability and efficiency in accessing data with secure transmission. The proposed technique achieves 95% reliability in transferring a large number of files up to 10,000.

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APA Style
Duhayyim, M.A., Al-Wesabi, F.N., Marzouk, R., Abdalla Musa, A.I., Negm, N. et al. (2022). Integration of fog computing for health record management using blockchain technology. Computers, Materials & Continua, 71(2), 4135-4149. https://doi.org/10.32604/cmc.2022.022336
Vancouver Style
Duhayyim MA, Al-Wesabi FN, Marzouk R, Abdalla Musa AI, Negm N, Hilal AM, et al. Integration of fog computing for health record management using blockchain technology. Comput Mater Contin. 2022;71(2):4135-4149 https://doi.org/10.32604/cmc.2022.022336
IEEE Style
M. A. Duhayyim et al., “Integration of Fog Computing for Health Record Management Using Blockchain Technology,” Comput. Mater. Contin., vol. 71, no. 2, pp. 4135-4149, 2022. https://doi.org/10.32604/cmc.2022.022336

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cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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