TechRxiv
COVID-19 Contact Tracing using Blockchain.pdf (2.71 MB)
Download file

COVID-19 Contact Tracing using Blockchain

Download (2.71 MB)
preprint
posted on 25.02.2021, 03:29 by Haya R. Hasan, Khaled Salah, Raja JayaramanRaja Jayaraman, Ibrar YaqoobIbrar Yaqoob, Mohammed Omar, Samer Ellahham
Contact tracing has widely been adopted to control the spread of Coronavirus-2019 (COVID-19). It enables to identify, assess, and manage people who have been exposed to COVID-19, thereby preventing from its further transmission. Today's most of the contact tracing approaches, tools, and solutions fall short in providing decentralized, transparent, traceable, immutable, auditable, secure, and trustworthy features. In this paper, we propose a decentralized blockchain-based COVID-19 contact tracing solution. Contact tracing can greatly suffice the need for a speedy response to a pandemic. We leverage the immutable and tamper-proof features of blockchain to enforce trust, accountability, and transparency. Trusted and registered oracles are used to bridge the gap between on-chain and off-chain data. With no third parties involved or centralized servers, the users' medical information is not prone to invasion, hacking, or abuse. Each user is registered using their digital medical passports. To respect the privacy of the users, their locations are updated with a time delay of 20 minutes. Using Ethereum smart contracts, transactions are executed on-chain with emitted events and immutable logs. We present details of the implemented algorithms and their testing analysis. We evaluate the proposed approach using security, cost, and privacy parameters to show its effectiveness. The smart contracts code is publicly made available on GitHub.

Funding

This publication is based upon work supported by the Khalifa University of Science and Technology under Awards No. CIRA-2019-001 and RCII-2019-002, Center for Digital Supply Chain and Operations Management.

History

Email Address of Submitting Author

ibraryaqoob@ieee.org

ORCID of Submitting Author

0000-0002-8438-3429

Submitting Author's Institution

Khalifa University of Science and Technology

Submitting Author's Country

United Arab Emirates

Usage metrics

Licence

Exports