Toward a secure global contact tracing app for covid-19
Hamza, Muhammad; Khan, Arif Ali; Akbar, Muhammad Azeem (2022-06-13)
Muhammad Hamza, Arif Ali Khan, and Muhammad Azeem Akbar. 2022. Toward a secure global contact tracing app for Covid-19. In The International Conference on Evaluation and Assessment in Software Engineering 2022 (EASE 2022), June 13–15, 2022, Gothenburg, Sweden. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3530019.3531339
© ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in The International Conference on Evaluation and Assessment in Software Engineering 2022 (EASE 2022), http://dx.doi.org/10.1145/3530019.3531339.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2023040334574
Tiivistelmä
Abstract
The outbreak of the covid-19 pandemic has devastated many sectors of each country and led to the development of contact tracing applications for controlling its spread. Contact tracing apps have been promoted to track infected contacts. However, contact tracing has gained significant debate due to its security and privacy concerns. The goal of this study is to examine the most popular contact tracing apps, their impact on pandemic control, as well security and privacy concerns. The multivocal literature review (MLR) brings the results from the state-of-the-art literature. We extracted 23 studies from both formal and grey literature to achieve the research objectives and found several security and privacy threats in the existing contact tracing applications. Additionally, the best practices to address these threats were also identified. We further proposed a preliminary structure of a secure global contact tracing app using blockchain technology.
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