Privacy Modelling in Contact Tracing
2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
; : 1279-1282, 2021.
Article
in English
| Scopus | ID: covidwho-1948744
ABSTRACT
Contact tracing is a particularly important part of health care and is often overlooked or forgotten up until right when it is needed the most. With the wave of technological achievements in the last decade, a digital perspective for aid in contact tracing was a natural development from traditional contact tracing. When COVID-19 was categorized as a pandemic, the need for modernized contact tracing solutions became apparent, and highly sought after. Solutions using the Bluetooth protocol and/or Global Positioning System data (GPS) were hastily made available to the public in nations all over the world. These solutions quickly became criticized by privacy experts as being potential tools for tracking. © 2021 IEEE.
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Database:
Scopus
Language:
English
Journal:
2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Year:
2021
Document Type:
Article
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