1. CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing
- Author
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Edouard Bugnion, Michael Veale, Carmela Troncoso, Kenneth G. Paterson, Wouter Lueks, Seda Gürses, and Marcel Salathé
- Subjects
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 - 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, Proceedings on Privacy Enhancing Technologies, 2021 (4), ISSN:2299-0984
- Published
- 2021