Blockchain-Based Solutions Supporting Reliable Healthcare for Fog Computing and Internet of Medical Things (IoMT) Integration

Shadab Alam, Mohammed Shuaib, Sadaf Ahmad, Dushantha Nalin K. Jayakody (), Ammar Muthanna, Salil Bharany () and Ibrahim A. Elgendy
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Shadab Alam: College of Computer Science and Information Technology, Jazan University, Jazan 45142, Saudi Arabia
Mohammed Shuaib: College of Computer Science and Information Technology, Jazan University, Jazan 45142, Saudi Arabia
Sadaf Ahmad: Department of Computer Science, Aligarh Muslim University, Aligarh 202002, India
Dushantha Nalin K. Jayakody: Centro de Investigação em Tecnologias— Autónoma TechLab, Universidade Autónoma de Lisboa, 1150-293 Lisbon, Portugal
Ammar Muthanna: Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), 117198 Moscow, Russia
Salil Bharany: CET Department GNDU, Amritsar 143005, India
Ibrahim A. Elgendy: Department of Computer Science, Faculty of Computers and Information, Menoufia University, Shibin El Kom 32511, Egypt

Sustainability, 2022, vol. 14, issue 22, 1-17

Abstract: The Internet of Things (IoT) has radically transformed how patient information and healthcare monitoring are monitored and recorded and has revolutionized the area by ensuring regular 24 × 7 tracking without costly and restricted human resources and with a low mistake probability. The Internet of Medical Things (IoMT) is a subsection of the Internet of things (IoT) that uses medical equipment as things or nodes to enable cost-effective and efficient patient monitoring and recording. The IoMT can cope with a wide range of problems, including observing patients in hospitals, monitoring patients in their homes, and assisting consulting physicians and nurses in monitoring health conditions at regular intervals and issuing warning signals if emergency care is necessary. EEG signals, electrocardiograms (ECGs), blood sugar levels, blood pressure levels, and other conditions can be examined. In crucial situations, quick and real-time analysis is essential, and failure to provide careful attention can be fatal. A cloud-based IoT platform cannot handle these latency-sensitive conditions. Fog computing (FC) is a novel paradigm for assigning, processing, and storing resources to IoT devices with limited resources. Where substantial processing power or storage is required, all nodes in a fog computing scheme can delegate their jobs to local fog nodes rather than forwarding them to the cloud module at a greater distance. Identifying potential security risks and putting in place adequate security measures are critical. This work aims to examine a blockchain (BC) as a potential tool for mitigating the impact of these difficulties in conjunction with fog computing. This research shows that blockchain can overcome fog computing’s privacy and security concerns. It also discusses blockchain’s issues and limitations from the perspective of fog computing (FC) and the IoMT.

Keywords: fog computing; Internet of Things; IoMT; blockchain; security; healthcare (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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