A Survey of Automatic Contact Tracing Approaches
Key: 2020a3
Author: Leonie Reichert, Samuel Brack, Björn Scheuermann
Date: March 2021
Kind: @article
Publisher: Association for Computing Machinery
Abstract: To combat the ongoing Covid -19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. In this survey we define multiple classes of automated contact tracing techniques which most of the approaches fall into. We identify two major groups: systems that rely on a server for finding new infections and systems that distribute this process. They are systematically classified regarding security and privacy criteria.
View Full paper (PDF) | Download Full paper (PDF)
Official URL

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, not withstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.