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Privacy-Oriented Technique for COVID-19 Contact Tracing (PROTECT) Using Homomorphic Encryption: Design and Development Study.

Yongdae AnSeungmyung LeeSeungwoo JungHoward ParkYongsoo SongTaehoon Ko
Published in: Journal of medical Internet research (2021)
This newly developed method for contact tracing shares location information by using homomorphic encryption, without exposing the location information of patients with COVID-19 and other users. Homomorphic encryption is challenging to apply to practical issues despite its high security value. In this study, however, we have designed a system using the Brakerski/Fan-Vercauteren scheme that is applicable to a reasonable size and developed it to an operable format. The developed app and web service can help contact tracing for not only the COVID-19 pandemic but also other epidemics.
Keyphrases
  • sars cov
  • healthcare
  • coronavirus disease
  • health information
  • mental health
  • machine learning
  • big data
  • deep learning
  • global health
  • artificial intelligence
  • respiratory syndrome coronavirus