Comparative Study of Privacy Preserving-Contact Tracing on Digital Platforms

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Abstract

The rapid development in digital infrastructure such as computing power and less expensive mobile devices and explosive growth of the internet has made an impact on digital processing. This revolution has bought many new applications and new technologies, now aiming at replacement with improving effectiveness and efficiency of manual contact tracing with new approaches with maintaining user privacy. The successful containment of the Coronavirus pandemic (COVID-19) depends on the ability to identify quickly and reliably those who have been in close proximity to a contagious positive-tested individual. This can be made possible with contact tracing method. The information about interaction which happens between two users should be revealed only to themselves to maintain privacy of individuals. Users which are detected positive should not share any of their contact details or personal information or history with the authority or any other party but pass the anonymous IDs and help in tracing out the contacted people. This paper presents the most popular contact tracing data privacy techniques.

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Patel, F. B., Jain, N., Menon, R., & Kodeboyina, S. (2020). Comparative Study of Privacy Preserving-Contact Tracing on Digital Platforms. In 2020 International Conference on Computational Intelligence, ICCI 2020 (pp. 137–141). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCI51257.2020.9247782

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