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A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain

A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain

Anu Raj, Shiva Prakash
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 23
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781683181019|DOI: 10.4018/IJSSCI.310942
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MLA

Raj, Anu, and Shiva Prakash. "A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain." IJSSCI vol.14, no.1 2022: pp.1-23. http://doi.org/10.4018/IJSSCI.310942

APA

Raj, A. & Prakash, S. (2022). A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-23. http://doi.org/10.4018/IJSSCI.310942

Chicago

Raj, Anu, and Shiva Prakash. "A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain," International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no.1: 1-23. http://doi.org/10.4018/IJSSCI.310942

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Abstract

Integrating the internet of things (IoT) and healthcare monitoring systems is one of the most dynamic innovations in the research area. Since the tremendous number of IoT devices in smart healthcare systems is increasing exponentially, privacy and security issues related to the patient's data are significant concerns. The authors propose an access control for a healthcare monitoring system using blockchain-based smart contracts. They created four smart contract forms for user registration, authentication, access control including misbehavior detection and access revocation. The sensor automatically measures the patient's health data and filters the data before determining whether to write the data into the blockchain or not. The sensor detects abnormal data and alerts doctors and hospitals for immediate treatment. The efficiency of the proposed framework is verified by performance evaluation based on the Ethereum test environment. The proposed system outperforms existing approaches by reducing deployment and execution latency and average response latency in the real-time smart healthcare system.

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