covid19/dp3t-documents
covid19
/
dp3t-documents
mirror of https://github.com/DP-3T/documents.git
1
0
Fork 0
Code Releases Activity

Update to Readme

This commit is contained in:
Nigel Smart 2020-04-16 21:18:58 +02:00
parent 39b85daee2
commit 990e8e0e71
1 changed files with 20 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
README.md
View File

@ -2,7 +2,24 @@
This repository contains a proposal for a secure and 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.
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).
# Who we are
We are a international consortium of technologists, legal experts, engineers and epidemiologists with a wide range of experience who are interested in ensuring that any proximity tracing technology does not result in governments obtaining surveillance capabilities which will endager civil society.
We are led from EPFL in Switzerland by Prof. Carmela Troncoso a leading expert in privacy, and call upon experts from various countries including Belgium, Germany, Italy, the Netherlands, Switzerland and the United Kingdom. Our team consists of people with a wide range of experience
including:
**Prof. Edouard Buginon**: Co-Founder of VMWare, Former Vice President at Cisco
**Prof. Srdkan Capkun**: ERC Awardee, Fellow of the ACM, Director of the Zurich Information and Privacy Centre
**Prof. James Larus**: Former Director of Research and Strategy for Micorsoft eXtreme Computing Group
**Prof. Kenny Paterson**: Fellow of the IACR, Former Manager at Hewlett-Packard Laboratories Europe
**Prof. Mathias Payer**: ERC Awardee
**Prof. Bart Preneel**: Former President of the International Association of Cryptologic Research, Fellow of the IACR.
**Prof. Nigel Smart**: ERC Awardee, Former Vice-President of the International Association of Cryptologic Research, Fellow of the IACR, Co-Founder of UnBound Tech.
In this repository you will find various documents defining our specification. 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).
By publishing these documents 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. We feel it is vital that designs are made public so the wider community can verify their claimed privacy gaurantees before they are deployed across a whole population.
Open source implementations for iOS, Android, and the back-end server are available on the [other DP-3T repositories](https://github.com/DP-3T/). An explanatory comic [is also available in many languages](public_engagement/cartoon).
@ -33,8 +50,8 @@ But, we also strongly believe that Apple and Google should adopt our subsequent
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 was 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.
DP-3T is a free-standing effort started at EPFL and ETHZ that produced this protocol and that is implementing it in an open-sourced app and server on this repository.
DP-3T is a free-standing effort, originally started at EPFL and ETHZ, that has now broadened out to include stakeholders from across Europe and beyond. We develop the protocol and implement it in an open-sourced app and server on this repository.
DP-3T participates in the loose umbrella of the 'Pan-European Privacy-Preserving Proximity Tracing' (PEPP-PT) project. DP-3T is not the only protocol under this umbrella. PEPP-PT 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 interoperability.
DP-3T members have been participating in the loose umbrella of the 'Pan-European Privacy-Preserving Proximity Tracing' (PEPP-PT) project. DP-3T is not the only protocol under this umbrella. PEPP-PT 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 interoperability.
Nevertheless, as the systems endorsed by PEPP-PT have technical differences that yield very different privacy properties, it is a mistake to use the term 'PEPP-PT' to describe a specific solution or to refer to PEPP-PT as if it embodies a single approach rather than several very different ones.