Secure Data Hiding for Contact Tracing
Craig Gotsman, Kai Hormann

TL;DR
This paper introduces a privacy-preserving data hiding method for contact tracing that encodes location data to protect user privacy while ensuring effective exposure notification with minimal false alarms.
Contribution
It presents a novel data encoding technique that enables secure contact tracing by hiding location data, balancing privacy and public health needs.
Findings
Guarantees perfect recall of exposed individuals.
Minimizes false alarms to a negligible level.
Provides a general construction for data hiding functions.
Abstract
Contact tracing is an effective tool in controlling the spread of infectious diseases such as COVID-19. It involves digital monitoring and recording of physical proximity between people over time with a central and trusted authority, so that when one user reports infection, it is possible to identify all other users who have been in close proximity to that person during a relevant time period in the past and alert them. One way to achieve this involves recording on the server the locations, e.g. by reading and reporting the GPS coordinates of a smartphone, of all users over time. Despite its simplicity, privacy concerns have prevented widespread adoption of this method. Technology that would enable the "hiding" of data could go a long way towards alleviating privacy concerns and enable contact tracing at a very large scale. In this article we describe a general method to hide data. By…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · COVID-19 Digital Contact Tracing · Internet Traffic Analysis and Secure E-voting
