Decentralized Privacy-Preserving Proximity Tracing

05/25/2020
by   Carmela Troncoso, et al.
0

This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system, referred to as DP3T, provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus so that they can take appropriate measures to break its transmission chain. The system aims to minimise privacy and security risks for individuals and communities and guarantee the highest level of data protection. The goal of our proximity tracing system is to determine who has been in close physical proximity to a COVID-19 positive person and thus exposed to the virus, without revealing the contact's identity or where the contact occurred. To achieve this goal, users run a smartphone app that continually broadcasts an ephemeral, pseudo-random ID representing the user's phone and also records the pseudo-random IDs observed from smartphones in close proximity. When a patient is diagnosed with COVID-19, she can upload pseudo-random IDs previously broadcast from her phone to a central server. Prior to the upload, all data remains exclusively on the user's phone. Other users' apps can use data from the server to locally estimate whether the device's owner was exposed to the virus through close-range physical proximity to a COVID-19 positive person who has uploaded their data. In case the app detects a high risk, it will inform the user.

READ FULL TEXT

Authors

page 1

06/19/2020

Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications

The rapid spread of COVID-19 has made traditional manual contact tracing...
08/14/2020

Secure Data Hiding for Contact Tracing

Contact tracing is an effective tool in controlling the spread of infect...
09/13/2020

vContact: Private WiFi-based Contact Tracing with Virus Lifespan

Covid-19 is primarily spread through contact with the virus which may su...
06/23/2020

A Privacy-preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community Transmission

To slow down the spread of COVID-19, governments around the world are tr...
07/06/2020

An Automated Contact Tracing Approach for Controlling Covid-19 Spread Based on Geolocation Data from Mobile Cellular Networks

The coronavirus (COVID-19) has appeared as the greatest challenge due to...
04/15/2020

COVID-19 Antibody Test / Vaccination Certification: There's an app for that

Goal: As the Coronavirus Pandemic of 2019/2020 unfolds, a COVID-19 'Immu...
05/11/2020

Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing

Many countries are currently gearing up to use smart-phone apps to perfo...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.