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30 lines
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30 lines
3.4 KiB
Markdown
# Decentralized Privacy-Preserving Proximity Tracing
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This repository contains a proposal for a secure and privacy-preserving decentralized privacy-preserving proximity tracing system. Its goal is to simplify and accelerate the process of identifying people who have been in contact with an infected person, thus providing a technological foundation to help slow the spread of the SARS-CoV-2 virus. The system aims to minimise privacy and security risks for individuals and communities and guarantee the highest level of data protection.
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By publishing this document we seek feedback from a broad audience on the high-level design, its security and privacy properties, and the functionality it offers; so that further protection mechanisms can be added if weaknesses are identified. The [white paper document](DP3T%20White%20Paper.pdf) is accompanied by an [overview of the data protection aspects of the design](DP3T%20-%20Data%20Protection%20and%20Security.pdf), and a [three page simplified introduction to the protocol](DP3T%20-%20Simplified%20Three%20Page%20Brief.pdf).
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If you have a similar project and you believe it would be beneficial to collaborate or exchange ideas drop an email here: [dp3t@groupes.epfl.ch](mailto:dp3t@groupes.epfl.ch).
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The following people are behind this design:
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**EPFL**: Prof. Carmela Troncoso, Prof. Mathias Payer, Prof. Jean-Pierre Hubaux, Prof. Marcel Salathé, Prof. James Larus, Prof. Edouard Bugnion, Dr. Wouter Lueks, Theresa Stadler, Dr. Apostolos Pyrgelis, Dr. Daniele Antonioli, Ludovic Barman, Sylvain Chatel
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**ETHZ**: Prof. Kenneth Paterson, Prof. Srdjan Capkun, Prof. David Basin, Prof. Jan Beutel, Dennis Jackson
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**KU Leuven**: Prof. Bart Preneel, Prof. Nigel Smart, Dr. Dave Singelee, Dr. Aysajan Abidin
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**TU Delft**: Prof. Seda Gürses
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**University College London**: Dr. Michael Veale
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**CISPA**: Prof. Cas Cremers
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**University of Oxford**: Dr. Reuben Binns
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**TU Berlin / Fraunhofer HHI**: Prof. Thomas Wiegand
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**University of Torino / ISI Foundation**: Prof. Ciro Cattuto
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Contact email: [dp3t@groupes.epfl.ch](mailto:dp3t@groupes.epfl.ch).
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## A note on the relationship between PEPP-PT and DP-3T
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The Decentralised Privacy-Preserving Proximity Tracing (DP-3T) project is an open protocol for COVID-19 proximity tracing using Bluetooth Low Energy functionality on mobile devices that ensures personal data and computation stays entirely on an individual’s phone. It has been produced by a core team of over 25 scientists and academic researchers from across Europe. It has also been scrutinized and improved by the wider community.
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DP-3T is a free-standing effort started at EPFL and ETHZ that produced this protocol and that is implementing it in a soon-to-be-released, open-sourced app and server. DP-3T sits under the loose umbrella of the ‘Pan-European Privacy-Preserving Proximity Tracing’ (PEPP-PT) project. DP-3T is not the only protocol under this umbrella, which also endorses centralized approaches with very different privacy properties. Pandemics do not respect borders, so there is substantial value in PEPP-PT’s role of encouraging dialogue, knowledge-sharing and facilitating interoperability to enable trans-national roaming.
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As the systems endorsed by PEPP-PT have technical differences that yield very different policy-relevant properties, it is a mistake to use the term ‘PEPP-PT’ to describe a specific solution or to refer PEPP-PT as if it embodies a single approach rather than several very different ones.
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