COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges

May 07, 2020 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges"

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Authors Jinfeng Li, Xinyi Guo arXiv ID 2005.03599 Category cs.CR: Cryptography & Security Cross-listed cs.CY, cs.SI Citations 105 Venue arXiv.org Last Checked 1 day ago
Abstract
To address the massive spike in uncertainties triggered by the coronavirus disease (COVID-19), there is an ever-increasing number of national governments that are rolling out contact-tracing Apps to aid the containment of the virus. The first hugely contentious issue facing the Apps is the deployment framework, i.e. centralized or decentralized. Based on this, the debate branches out to the corresponding technologies that underpin these architectures, i.e. GPS, QR codes, and Bluetooth. This work conducts a pioneering review of the above scenarios and contributes a geolocation mapping of the current deployment. The Apps vulnerabilities and the directions of research are identified, with a special focus on the Bluetooth-inspired decentralized paradigm.
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