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VenueTrace: a privacy-by-design COVID-19 digital contact tracing solution: poster abstract

Published:16 November 2020Publication History

ABSTRACT

Rapid spread of the COVID-19 pandemic is making traditional manual contact tracing challenging; in response, digital contact tracing mobile apps have been developed by the software industry and promoted by governments and health authorities worldwide. However, deploying contact tracing apps across a population at scale have raised many privacy concerns. In this paper, we propose a venue-access-based contact tracing solution, VenueTrace, which preserves user privacy by designs by: (i) enabling the contact tracing of venue-to-user, instead of user-to-user; (ii) avoiding information exchanges between users; and (iii) ensuring no private data is exposed to back-end servers, while enabling proximity contact tracing.

References

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  2. Jason Bay, Joel Kek, Alvin Tan, Chai Sheng Hau, Lai Yongquan, Janice Tan, and Tang Anh Quy. 2020. BlueTrace: A privacy-preserving protocol for community-driven contact tracing across borders. Government Technology Agency-Singapore, Tech. Rep (2020).Google ScholarGoogle Scholar
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  1. VenueTrace: a privacy-by-design COVID-19 digital contact tracing solution: poster abstract

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      • Published in

        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

        Copyright © 2020 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 November 2020

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        Overall Acceptance Rate174of867submissions,20%

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