Contact Tracing: Ensuring Privacy and Security
Faced with the biggest virus outbreak in a century, world governments at the start of 2020 took unprecedented measures to protect their healthcare systems from being overwhelmed in the light of the COVID-19 pandemic. International travel was halted and lockdowns were imposed. Many nations adopted me...
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MDPI AG
2021
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oai:doaj.org-article:23eaf3e70c8245698b0a83cba88533262021-11-11T15:03:39ZContact Tracing: Ensuring Privacy and Security10.3390/app112199772076-3417https://doaj.org/article/23eaf3e70c8245698b0a83cba88533262021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9977https://doaj.org/toc/2076-3417Faced with the biggest virus outbreak in a century, world governments at the start of 2020 took unprecedented measures to protect their healthcare systems from being overwhelmed in the light of the COVID-19 pandemic. International travel was halted and lockdowns were imposed. Many nations adopted measures to stop the transmission of the virus, such as imposing the wearing of face masks, social distancing, and limits on social gatherings. Technology was quickly developed for mobile phones, allowing governments to track people’s movements concerning locations of the virus (both people and places). These are called contact tracing applications. Contact tracing applications raise serious privacy and security concerns. Within Europe, two systems evolved: a centralised system, which calculates risk on a central server, and a decentralised system, which calculates risk on the users’ handset. This study examined both systems from a threat perspective to design a framework that enables privacy and security for contact tracing applications. Such a framework is helpful for App developers. The study found that even though both systems comply with the General Data Protection Regulation (GDPR), Europe’s privacy legislation, the centralised system suffers from severe risks against the threats identified. Experiments, research, and reviews tested the decentralised system in various settings but found that it performs better but still suffers from inherent shortcomings. User tracking and re-identification are possible, especially when users report themselves as infected. Based on these data, the study identified and validated a framework that enables privacy and security. The study also found that the current implementations using the decentralised Google/Apple API do not comply with the framework.Daan Storm van LeeuwenAli AhmedCraig WattersonNilufar BaghaeiMDPI AGarticlecontact tracingCOVID-19 pandemicsecurityprivacymobile applicationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9977, p 9977 (2021) |
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contact tracing COVID-19 pandemic security privacy mobile application Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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contact tracing COVID-19 pandemic security privacy mobile application Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Daan Storm van Leeuwen Ali Ahmed Craig Watterson Nilufar Baghaei Contact Tracing: Ensuring Privacy and Security |
description |
Faced with the biggest virus outbreak in a century, world governments at the start of 2020 took unprecedented measures to protect their healthcare systems from being overwhelmed in the light of the COVID-19 pandemic. International travel was halted and lockdowns were imposed. Many nations adopted measures to stop the transmission of the virus, such as imposing the wearing of face masks, social distancing, and limits on social gatherings. Technology was quickly developed for mobile phones, allowing governments to track people’s movements concerning locations of the virus (both people and places). These are called contact tracing applications. Contact tracing applications raise serious privacy and security concerns. Within Europe, two systems evolved: a centralised system, which calculates risk on a central server, and a decentralised system, which calculates risk on the users’ handset. This study examined both systems from a threat perspective to design a framework that enables privacy and security for contact tracing applications. Such a framework is helpful for App developers. The study found that even though both systems comply with the General Data Protection Regulation (GDPR), Europe’s privacy legislation, the centralised system suffers from severe risks against the threats identified. Experiments, research, and reviews tested the decentralised system in various settings but found that it performs better but still suffers from inherent shortcomings. User tracking and re-identification are possible, especially when users report themselves as infected. Based on these data, the study identified and validated a framework that enables privacy and security. The study also found that the current implementations using the decentralised Google/Apple API do not comply with the framework. |
format |
article |
author |
Daan Storm van Leeuwen Ali Ahmed Craig Watterson Nilufar Baghaei |
author_facet |
Daan Storm van Leeuwen Ali Ahmed Craig Watterson Nilufar Baghaei |
author_sort |
Daan Storm van Leeuwen |
title |
Contact Tracing: Ensuring Privacy and Security |
title_short |
Contact Tracing: Ensuring Privacy and Security |
title_full |
Contact Tracing: Ensuring Privacy and Security |
title_fullStr |
Contact Tracing: Ensuring Privacy and Security |
title_full_unstemmed |
Contact Tracing: Ensuring Privacy and Security |
title_sort |
contact tracing: ensuring privacy and security |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/23eaf3e70c8245698b0a83cba8853326 |
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AT daanstormvanleeuwen contacttracingensuringprivacyandsecurity AT aliahmed contacttracingensuringprivacyandsecurity AT craigwatterson contacttracingensuringprivacyandsecurity AT nilufarbaghaei contacttracingensuringprivacyandsecurity |
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