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About:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos
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schema:ScholarlyArticle
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covidontheweb.inria.fr
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Academic Article
research paper
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos
Creator
Kornaropoulos, Evgenios
Liu, Xiaoyuan
Song, Dawn
Trieu, Ni
source
ArXiv
abstract
Contact tracing is an important method to control the spread of an infectious disease such as COVID-19. However, existing contact tracing methods alone cannot provide sufficient coverage and do not successfully address privacy concerns of the participating entities. Current solutions do not utilize the huge volume of data stored in business databases and individual digital devices. This information is typically stored in data silos and cannot be used due to regulations in place. To successfully unlock the potential of contact tracing, we need to consider both data utilization from multiple sources and the privacy of the participating parties. To this end, we propose BeeTrace, a unified platform that breaks data silos and deploys state-of-the-art cryptographic protocols to guarantee privacy goals.
has issue date
2020-07-05
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arxiv
sha1sum (hex)
1b3667b6830a53b7285106c89a965c156df039a7
resource representing a document's title
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos
resource representing a document's body
covid:1b3667b6830a53b7285106c89a965c156df039a7#body_text
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schema:about
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named entity 'data'
named entity 'infectious disease'
named entity 'unlock'
named entity 'Data'
named entity 'tracing'
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