CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing
| Autor: | Edouard Bugnion, Michael Veale, Carmela Troncoso, Kenneth G. Paterson, Wouter Lueks, Seda Gürses, Marcel Salathé |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Presence tracing
Computer science 0211 other engineering and technologies 0102 computer and information sciences 02 engineering and technology Tracing Computer security computer.software_genre 01 natural sciences proximity tracing General Environmental Science Ethics privacy-preserving protocols 021110 strategic defence & security studies QA75.5-76.95 privacy preserving protocols BJ1-1725 Privacy preserving 010201 computation theory & mathematics Electronic computers. Computer science Natural sciences General Earth and Planetary Sciences ddc:500 computer FOS: Natural sciences |
| Zdroj: | Proceedings on Privacy Enhancing Technologies, 2021 (4) Proceedings on Privacy Enhancing Technologies, Vol 2021, Iss 4, Pp 350-368 (2021) |
| ISSN: | 2299-0984 |
| Popis: | 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 Proceedings on Privacy Enhancing Technologies, 2021 (4) ISSN:2299-0984 |
| Databáze: | OpenAIRE |
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