期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2020
卷号：43
期号：2
页码：108-120
出版社：IEEE Computer Society
摘要：Contact tracing is an important method to control the spread of an infectious disease such as COVID19. 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.
