ENACT: Encounter-based Architecture for Contact Tracing
Aarathi Prasad and David Kotz.
ENACT: Encounter-based Architecture for Contact Tracing.
Proceedings of the ACM Workshop on Physical Analytics (WPA), pages 37–42.
ACM, June 2017.
doi:10.1145/3092305.3092310.
©Copyright ACM.
Abstract:
Location-based sharing services allow people to connect with others who are near them, or with whom they shared a past encounter. Suppose it were also possible to connect with people who were at the same location but at a different time -- we define this scenario as a close encounter, i.e., an incident of spatial and temporal proximity. By detecting close encounters, a person infected with a contagious disease could alert others to whom they may have spread the virus. We designed a smartphone-based system that allows people infected with a contagious virus to send alerts to other users who may have been exposed to the same virus due to a close encounter. We address three challenges: finding devices in close encounters with minimal changes to existing infrastructure, ensuring authenticity of alerts, and protecting privacy of all users. Finally, we also consider the challenges of a real-world deployment.
Citable with [BibTeX]: \cite{prasad:enact} Projects: [thaw] Keywords: [privacy] [security] Available from the publisher: [DOI] Available from the author:
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