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Paper 2020/672
A Survey of Automatic Contact Tracing Approaches
Leonie Reichert and Samuel Brack and Björn Scheuermann
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.
Metadata
- Available format(s)
- Category
- Applications
- Publication info
- Preprint. MINOR revision.
- Keywords
- Covid-19Contact TracingPrivacySurvey
- Contact author(s)
-
reicleon @ hu-berlin de
samuel brack @ informatik hu-berlin de - History
- 2021-02-15: last of 4 revisions
- 2020-06-05: received
- See all versions
- Short URL
- https://ia.cr/2020/672
- License
-
CC BY