Digital contact tracing: large-scale geolocation data as an alternative to bluetooth-based Apps failure

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dc.contributor.author González Cabañas, José
dc.contributor.author Cuevas Rumín, Ángel
dc.contributor.author Cuevas Rumín, Rubén
dc.contributor.author Maier, Martin
dc.date.accessioned 2021-11-15T10:49:38Z
dc.date.available 2021-11-15T10:49:38Z
dc.date.issued 2021-05-05
dc.identifier.bibliographicCitation Electronics, 10(9), 1093, May 2021, 11 p.
dc.identifier.issn 2079-9292
dc.identifier.uri http://hdl.handle.net/10016/33610
dc.description.abstract The currently deployed contact-tracing mobile apps have failed as an efficient solution in the context of the COVID-19 pandemic. None of them have managed to attract the number of active users required to achieve efficient operation. This urges the research community to re-open the debate and explore new avenues to lead to efficient contact-tracing solutions. In this paper, we contribute to this debate with an alternative contact-tracing solution that leverages the already available geolocation information owned by BigTech companies that have large penetration rates in most of the countries adopting contact-tracing mobile apps. Our solution provides sufficient privacy guarantees to protect the identity of infected users as well as to preclude Health Authorities from obtaining the contact graph from individuals.
dc.description.sponsorship The research leading to these results received funding from the European Union’s Horizon 2020 innovation action programme under the grant agreement No 871370 (PIMCITY project); the Ministerio de Economía, Industria y Competitividad, Spain, and the European Social Fund(EU), under the Ramón y Cajal programme (Grant RyC-2015-17732); the Ministerio de Educación, Cultura y Deporte, Spain, through the FPU programme (Grant FPU16/05852); the Ministerio de Ciencia e Innovación under the project ACHILLES (Grant PID2019-104207RB-I00); the Community of Madrid synergic project EMPATIA-CM (Grant Y2018/TCS-5046); and the Fundación BBVA under the project AERIS; and the NSERC Discovery Grant 2016-04521.
dc.format.extent 11
dc.language.iso eng
dc.publisher MDPI
dc.rights Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other COVID-19
dc.subject.other Contact tracing
dc.subject.other Facebook
dc.subject.other Google
dc.subject.other Geolocation
dc.subject.other Privacy
dc.title Digital contact tracing: large-scale geolocation data as an alternative to bluetooth-based Apps failure
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.3390/electronics10091093
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/871370/PIMCITY
dc.relation.projectID Gobierno de España. RYC-2015-17732
dc.relation.projectID Gobierno de España. FPU16/05852
dc.relation.projectID Gobierno de España. PID2019-104207RB-I00/ACHILLES
dc.relation.projectID Comunidad de Madrid. Y2018/TCS-5046/EMPATIA
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 9, 1093
dc.identifier.publicationlastpage 11
dc.identifier.publicationtitle Electronics
dc.identifier.publicationvolume 10
dc.identifier.uxxi AR/0000028550
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía, Industria y Competitividad (España)
dc.contributor.funder Ministerio de Educación, Cultura y Deporte (España)
dc.contributor.funder Agencia Estatal de Investigación (España)
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