software . 2020

Server and client application of Privacy preserving disease analysis

Schmid Fabian;
Open Source German
  • Published: 27 Nov 2020
  • Publisher: Zenodo
Abstract
In the context of privacy-enhancing technologies, we sought to create reliable and secure corona heatmaps. Our goal was to compute and visualize the distribution of COVID-19 infected persons. We aimed to achieve it by the combination of data from health authorities and mobile network providers. However, the real challenge was to assert strong security guarantees both for the authorities and the operators. During development, we worked with public location data centered around Vienna. It is a two-party protocol in the classical client-server setting. The Client (health authority) has the identity of patients. The Server (mobile network operator) has Call Detail R...
Subjects
free text keywords: safe-DEED
Funded by
EC| Safe-DEED
Project
Safe-DEED
Safe Data Enabled Economic Development
  • Funder: European Commission (EC)
  • Project Code: 825225
  • Funding stream: H2020 | RIA
Communities
COVID-19
Download fromView all 3 versions
Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Zenodo
Any information missing or wrong?Report an Issue