Open access
Autor(in)
Alle anzeigen
Datum
2021-10Typ
- Journal Article
ETH Bibliographie
yes
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Abstract
There is growing evidence that SARS-CoV-2can be transmitted beyond close proximity contacts, in particular in closed and crowded environments with in-sufficient ventilation. To help mitigation efforts, contact tracers need a way to notify those who were present in such environments at the same time as infected individuals. Neither traditional human-based contact tracing powered by handwritten or electronic lists, norBluetooth-enabled proximity tracing can handle this problem efficiently. In this paper, we propose CrowdNotifier, a protocol that can complement manual contact tracing by efficiently notifying visitors of venues and events with SARS-CoV-2-positive attendees. We prove that CrowdNotifier provides strong privacy and abuse-resistance, and show that it can scale to handle notification at a national scale Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000499914Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
Proceedings on Privacy Enhancing TechnologiesBand
Seiten / Artikelnummer
Verlag
De GruyterThema
Presence tracing; proximity tracing; privacy-preserving protocolsOrganisationseinheit
09653 - Paterson, Kenneth / Paterson, Kenneth
ETH Bibliographie
yes
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