Encounter Metrics and Exposure Notification-Reference-Cited by-同舟云学术

Encounter Metrics and Exposure Notification

Published:2021-03-28 Issue: Volume:126 Page:
ISSN:2165-7254
Container-title:Journal of Research of the National Institute of Standards and Technology
language:en
Short-container-title:J. RES. NATL. INST. STAN.

Author:

Peralta René¹^ORCID,Robinson Angela¹

Affiliation:

1. National Institute of Standards and Technology, Information Technology Laboratory, Computer Security Division, Gaithersburg, MD 20899, USA

Abstract

We discuss the measurement of aggregate levels of encounters in a population, a concept we callencounter metrics. Encounter metricsare designed so that they can be deployed while preserving the privacy of individuals. To this end, encounters are labeled with a randomnumber that cannot be linked to anything that is broadcast at the time of the encounter. Among the applications of encounter metrics isprivacy-preserving exposure notification, a system that allows people to obtain a measure of their risk due to past encounters withpeople who have self-reported to be positive with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-19), the cause ofcoronavirus disease 2019 (COVID-19). The precise engineering of a system for exposure notification should be targeted to particularenvironments. We outline a system for use in the context of a workplace such as the National Institute of Standards and Technology(NIST).

Funder

Information Technology Laboratory

Publisher

National Institute of Standards and Technology (NIST)

Subject

General Engineering

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