Poster: Privacy-Preserving Contact Tracing of COVID-19 Patients

Leonie Reichert,Samuel Brack, Björn Scheuermann

semanticscholar(2020)

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摘要
The current COVID-19 pandemic shows the necessity to automate contact tracing to quickly discover new infections and slow down the spreading. Contact tracing deals with finding unreported infected people by tracing back who could have possibly caught the disease from a verified case. Some countries like China, Singapore and Israel hastily developed systems [1] which do not take citizens’ privacy into considerations, whereas others took longer to decide on a feasible solution [2]. Many approaches follow the Singapore design which exchanges Bluetooth data on contact [1]–[3]. In contrast to our proposal, this approach requires that every participant has their radio interface activated at all times. Another option is to use GPS data to recognize when paths cross1. This work proposes a solution on how to make centralized contact tracing based on GPS data more privacy-preserving for users.
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关键词
patients,contact,privacy-preserving
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