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Confidential Computing for Privacy-Preserving Contact Tracing
Contact tracing is paramount to fighting the pandemic but it comes with ...
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Continuous Learning and Inference of Individual Probability of SARS-CoV-2 Infection Based on Interaction Data
This study presents a new approach to determine the likelihood of asympt...
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KHOVID: Interoperable Privacy Preserving Digital Contact Tracing
During a pandemic, contact tracing is an essential tool to drive down th...
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Blockchain Meets COVID-19: A Framework for Contact Information Sharing and Risk Notification System
COVID-19 causes a global epidemic infection, which is the most severe in...
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Function Secret Sharing for PSI-CA:With Applications to Private Contact Tracing
In this work we describe a token-based solution to Contact Tracing via D...
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PriLok: Citizen-protecting distributed epidemic tracing
Contact tracing is an important instrument for national health services ...
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PriLock: Citizen-protecting distributed epidemic tracing
Contact tracing is an important instrument for national health services ...
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Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing
The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and tracking. Many nations of the world have therefore, developed their own ways where carriers of disease could be tracked and their contacts traced. These are generalized methods developed either in a distributed manner giving citizens control of their identity or in a centralised manner where a health authority gathers data on those who are carriers. This paper outlines some of the most significant approaches that have been established for contact tracing around the world. A comprehensive review on the key enabling methods used to realise the infrastructure around these infection tracking and contact tracing methods is also presented and recommendations are made for the most effective way to develop such a practice.
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