  Contact tracing is an important method to control the spread of an infectious
disease such as COVID-19. However, existing contact tracing methods alone
cannot provide sufficient coverage and do not successfully address privacy
concerns of the participating entities. Current solutions do not utilize the
huge volume of data stored in business databases and individual digital
devices. This information is typically stored in data silos and cannot be used
due to regulations in place. To successfully unlock the potential of contact
tracing, we need to consider both data utilization from multiple sources and
the privacy of the participating parties. To this end, we propose BeeTrace, a
unified platform that breaks data silos and deploys state-of-the-art
cryptographic protocols to guarantee privacy goals.

Cryptography and Security;Computers and Society