An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology

The Internet of Things (IoT) has made it possible for health institutions to have remote diagnosis, reliable, preventive, and real-time decision-making. However, the anonymity and privacy of patients are not considered in IoT. Therefore, this article proposes a blockchain-based anonymous system, kno...

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Bibliographic Details
Published in:IEEE systems journal 2023-06, Vol.17 (2), p.2422-2433
Main Authors: Samuel, Omaji, Omojo, Akogwu Blessing, Mohsin, Syed Muhammad, Tiwari, Prayag, Gupta, Deepak, Band, Shahab S.
Format: Article
Language:English
Subjects:
Blockchain
Blockchains
COVID-19
Cryptography
Cybersecurity
Decision making
e-health
Electronic mail
Epidemiology
fictitious play
Garlic
healthcare
Internet of Things
Internet of Things (IoT)
IoT data
Network latency
Privacy
Protocols
Routing
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Summary:The Internet of Things (IoT) has made it possible for health institutions to have remote diagnosis, reliable, preventive, and real-time decision-making. However, the anonymity and privacy of patients are not considered in IoT. Therefore, this article proposes a blockchain-based anonymous system, known as GarliMediChain, for providing anonymity and privacy during COVID-19 information sharing. In GarliMediChain, garlic routing and blockchain are integrated to provide low-latency communication, privacy, anonymity, trust, and security. Also, COVID-19 information is encrypted multiple times before transmitting to a series of nodes in the network. To ensure that COVID-19 information is successfully shared, a blockchain-based coalition system is proposed. The coalition system enables health institutions to share information while maximizing their payoffs. In addition, each institution uses the proposed fictitious play to study the strategies of others in order to update its belief by selecting the best responses from them. Furthermore, simulation results show that the proposed system is resistant to security-related attacks and is robust, efficient, and adaptive. From the results, the proposed proof-of-epidemiology-of-interest consensus protocol has 15.93% less computational cost than 26.30% of proof-of-work and 57.77% proof-of-authority consensus protocol, respectively. Nonetheless, the proposed GarliMediChain system promotes global collaborations by combining existing anonymity and trust solutions with the support of blockchain technology.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2022.3170406