Security and Privacy Issues Associated with Coronavirus Diagnosis and Prognosis

Vibhushinie Bentotahewa*, Chaminda Hewage, Jason Williams

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The urgency of the need to manage and find a cure for the COVID-19 has made it necessary to share information. However, sharing information involves potential risks that are inevitably likely to infringe individual privacy. Therefore, whether permissible under extenuation circumstances or not, sharing and handling of information for medical diagnosis and prognosis need consideration without ignoring the need to protect privacy. This makes it important to strike a balance between protecting individual privacy and collecting information to combat the virus, the responsibility for doing so rests with the state. However, circumstances in which the COVID-19 pandemic appears to be accelerating, the medical professionals and the government seem to be focusing more on collecting information that could be used to limit the extent of the outbreak and mitigate the risks. Such a strategy overrides perception of the need to protect personal privacy. This paper discusses the security and privacy challenges associated with SARS-CoV-2 diagnosis and prognosis using case studies from different countries.

Original languageEnglish
Title of host publicationScience and Technologies for Smart Cities - 6th EAI International Conference, SmartCity360°, Proceedings
EditorsSara Paiva, Sérgio Ivan Lopes, Rafik Zitouni, Nishu Gupta, Sérgio F. Lopes, Takuro Yonezawa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages108-116
Number of pages9
ISBN (Print)9783030760625
DOIs
Publication statusPublished - 22 May 2021
Event6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020 - Virtual, Online
Duration: 2 Dec 20204 Dec 2020

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume372
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020
CityVirtual, Online
Period2/12/204/12/20

Keywords

  • COVID-19
  • Coronavirus diagnosis
  • Data protection
  • General data protection regulation
  • Privacy
  • Security

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