Decentralized privacy-preserving proximity tracing

[Excerpt] This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been expose...

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Detalhes bibliográficos
Autor principal: Troncoso, Carmela (author)
Outros Autores: Pereira, José (author), Oliveira, Rui (author), Barbosa, Manuel (author), Payer, Mathias (author), Hubaux, Jean-Pierre (author), Salathe, Marcel (author), Larus, James (author), Lueks, Wouter (author), Stadler, Theresa (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Texto completo:http://hdl.handle.net/1822/71970
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/71970
Descrição
Resumo:[Excerpt] This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus so that they can take appropriate measures to break its transmission chain. The system aims to minimise privacy and security risks for individuals and communities and guarantee the highest level of data protection. [...]