BeepTrace for COVID-19 Pandemic: a Demo

Kang, H., Zhang, Z., Dong, J., Ji, Y., Xu, H. and Zhang, L. (2021) BeepTrace for COVID-19 Pandemic: a Demo. In: 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS 2021), Paris, France, 27-30 Sep 2021, pp. 6-7. ISBN 9781665439244 (doi: 10.1109/BRAINS52497.2021.9569784)

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Given the heavy economic losses and threats to human health caused by COVID-19 worldwide, as well as the privacy concerns from existing contact tracing technologies, we developed a novel contact tracing mobile application BeepTrace based on blockchain, targeted at mitigating the pandemic and easing the privacy concerns of contact tracing. The app features dual-mode, where the passive mode uses GPS, and the active mode with Bluetooth Low Energy (BLE) technology to solve contact information respectively. Thanks to blockchain technology, it solves third-party trust concerns and opens up anonymous data sharing for COVID-19 protection and beyond by adopting BeepTrace approach as an open platform of health/disease tracing data. At present, we have released the alpha version of the app with the preliminary realization of relevant functions. We believe this application will have significant implications for the global response to the pandemic of and beyond COVID-19.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei and Xu, Mr Hao
Authors: Kang, H., Zhang, Z., Dong, J., Ji, Y., Xu, H., and Zhang, L.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Copyright Holders:Copyright © 2021 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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