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

Yongdae An^1,2, Seungmyung Lee¹, Seungwoo Jung¹

¹Desilo Inc, Seoul, Republic of Korea.

Journal of Medical Internet Research

|May 17, 2021

Summary

This study introduces PROTECT, a privacy-preserving contact tracing system using homomorphic encryption to prevent location data exposure for COVID-19 patients and users. The developed app ensures effective epidemic contact tracing without compromising individual privacy.

Keywords:

COVID-19 GPS data PROTECT protocol homomorphic encryption mobile application privacy-preserving contact tracing web service

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Area of Science:

Computer Science
Cryptography
Public Health

Background:

Contact tracing is crucial for managing pandemics like COVID-19.
Current methods raise privacy concerns by exposing patient or user location data.
Balancing public health needs with individual privacy is a significant challenge.

Purpose of the Study:

To develop an effective contact tracing system that safeguards location privacy.
To ensure neither patients' nor users' location data is exposed to authorities or other users.

Main Methods:

Proposed a novel protocol: PRivacy Oriented Technique for Epidemic Contact Tracing (PROTECT).
Utilized Brakerski/Fan-Vercauteren homomorphic encryption for secure data sharing.
Developed a secure proximity computation method.

Main Results:

Created a mobile app and web service to implement the PROTECT protocol.
The system successfully computes intersections of encrypted location histories.
Verified the app's effectiveness in identifying potential contacts within a reasonable timeframe.

Conclusions:

Developed a privacy-preserving contact tracing solution using homomorphic encryption.
The PROTECT system, despite the complexities of homomorphic encryption, is operable and scalable.
This technology can enhance contact tracing for COVID-19 and future epidemics.