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About:
PeopleTraffic: a common framework for harmonizing privacy and epidemic risks
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
PeopleTraffic: a common framework for harmonizing privacy and epidemic risks
Creator
Caravita, Ruggero
source
ArXiv
abstract
PeopleTraffic is a proposed initiative to develop a real-time, open-data population density mapping tool open to public institutions, private companies and the civil society, providing a common framework for infection spreading prevention. The system is based on a real-time people' locations gathering and mapping system from available 2G, 3G and 4G mobile networks operators, enforcing privacy-by-design through the adoption of an innovative data anonymizing algorithm inspired by quantum information de-localizing processes. Besides being originally targeted to help balancing social distancing regulations during the Phase-2 of the COVID-19 pandemics, PeopleTraffic would be beneficial for any infection spreading prevention event, e.g. supporting policy-makers in strategic decision-making.
has issue date
2020-05-20
(
xsd:dateTime
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has license
arxiv
sha1sum (hex)
b366ce0634f8f231905da5771a6d9b1557a09df6
resource representing a document's title
PeopleTraffic: a common framework for harmonizing privacy and epidemic risks
resource representing a document's body
covid:b366ce0634f8f231905da5771a6d9b1557a09df6#body_text
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schema:about
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named entity 'QUANTUM'
named entity 'A COMMON'
named entity 'IS A'
named entity 'COVID-19'
named entity 'COMPANIES'
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