Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19

• URL: http://arxiv.org/abs/2101.07897v2
• Date: Wed, 17 Mar 2021 16:06:19 GMT
• Title: Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19
• Authors: Vikram Sharma Mailthody and James Wei and Nicholas Chen and Mohammad Behnia and Ruihao Yao and Qihao Wang and Vedant Agrawal and Churan He and Lijian Wang and Leihao Chen and Amit Agarwal and Edward Richter and Wen-Mei Hwu and Christopher W. Fletcher and Jinjun Xiong and Andrew Miller and Sanjay Patel
• Abstract summary: COVID-19 has fundamentally disrupted the way we live. Government bodies, universities, and companies are rapidly developing technologies to combat the COVID-19 pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-spreader event detection, and exposure mapping require collecting and analyzing sensitive user information. We analyze two such computing infrastructures under development at the University of Illinois at Urbana-Champaign to track and mitigate the spread of COVID-19.
• Score: 24.12822717216725
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: COVID-19 has fundamentally disrupted the way we live. Government bodies, universities, and companies worldwide are rapidly developing technologies to combat the COVID-19 pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-spreader event detection, and exposure mapping require collecting and analyzing sensitive user information. The increasing use of such powerful data-driven applications necessitates a secure, privacy-preserving infrastructure for computation on personal data. In this paper, we analyze two such computing infrastructures under development at the University of Illinois at Urbana-Champaign to track and mitigate the spread of COVID-19. First, we present Safer Illinois, a system for decentralized health analytics supporting two applications currently deployed with widespread adoption: digital contact tracing and COVID-19 status cards. Second, we introduce the RokWall architecture for privacy-preserving centralized data analytics on sensitive user data. We discuss the architecture of these systems, design choices, threat models considered, and the challenges we experienced in developing production-ready systems for sensitive data analysis.

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