A Survey of Automatic Contact Tracing Approaches Using Bluetooth Low Energy

Leonie Reichert; Samuel Brack; Björn Scheuermann

Paper 2020/672

A Survey of Automatic Contact Tracing Approaches Using Bluetooth Low Energy

Leonie Reichert, 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. Bluetooth Low Energy (BLE) as base technology has the most promising properties, so this survey focuses on automated contact tracing techniques using BLE. We define multiple classes of methods and identify two major groups: systems that rely on a server for finding new infections and systems that distribute this process. Existing approaches are systematically classified regarding security and privacy criteria.

Note: Edit 15.2.2021: Minor fix regarding functionality of Pronto-C2

Metadata

Available format(s): PDF
Category: Applications
Publication info: Published elsewhere. Minor revision. ACM Health
Keywords: Covid-19 Contact Tracing Privacy Survey
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

BibTeX

@misc{cryptoeprint:2020/672,
      author = {Leonie Reichert and Samuel Brack and Björn Scheuermann},
      title = {A Survey of Automatic Contact Tracing Approaches Using Bluetooth Low Energy},
      howpublished = {Cryptology {ePrint} Archive, Paper 2020/672},
      year = {2020},
      url = {https://eprint.iacr.org/2020/672}
}