Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era
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Otros documentos de la autoría: Shubina, Viktoriia; Holcer, Sylvia; Gould, Michael; Lohan, Elena Simona
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Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 EraFecha de publicación
2020-09-23Editor
MDPICita bibliográfica
SHUBINA, Viktoriia, et al. Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era. Data, 2020, vol. 5, no 4, p. 87.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/2306-5729/5/4/87Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user location
tracking, and proximity detection ... [+]
Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user location
tracking, and proximity detection on users’ mobile devices or wearables. A centralized solution
relying on collecting and storing user traces and location information on a central server can provide
more accurate and timely actions than a decentralized solution in combating viral outbreaks, such as
COVID-19. However, centralized solutions are more prone to privacy breaches and privacy attacks
by malevolent third parties than decentralized solutions, storing the information in a distributed
manner among wireless networks. Thus, it is of timely relevance to identify and summarize the
existing privacy-preserving solutions, focusing on decentralized methods, and analyzing them
in the context of mobile device-based localization and tracking, contact tracing, and proximity
detection. Wearables and other mobile Internet of Things devices are of particular interest in
our study, as not only privacy, but also energy-efficiency, targets are becoming more and more
critical to the end-users. This paper provides a comprehensive survey of user location-tracking,
proximity-detection, and digital contact-tracing solutions in the literature from the past two decades,
analyses their advantages and drawbacks concerning centralized and decentralized solutions,
and presents the authors’ thoughts on future research directions in this timely research field. [-]
Publicado en
Data, 2020, v. 5, Issue 4Proyecto de investigación
European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie grant agreement No. 813278 (A-WEAR: A network for dynamic wearable applications with privacy constraints, http://www.a-wear.eu/).Derechos de acceso
info:eu-repo/semantics/openAccess
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