Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications

Christos Laoudias, Marios Raspopoulos, Stefanos Christoforou, Andreas Kamilaris

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
47 Downloads (Pure)

Abstract

At the onset of Covid-19 several Mobile Contact Tracing Applications (MCTA) were deployed and in many cases contributed to curbing the pandemic by triggering Exposure Notifications (EN) to users who were in proximity to infected users. Recently, a number of MCTA were enhanced with Digital Presence Tracing (DPT) functionality in an effort of the public health authorities to break infection chains mostly in indoor crowded spaces and manage super-spreading events (e.g., concerts, parties). That is, alerting individuals who visited the same place or attended the same event with infected users. This is typically implemented by scanning a QR code at the venue entrance. In this work, we present a DPT solution that relies on EN-Hubs, i.e., Bluetooth-enabled IoT devices, that propagate EN in a machine-to-machine fashion reaching all visitors/attendants seamlessly through their MCTA. The proposed solution removes the overhead of issuing, managing, and scanning QR codes every time people visit a place. In addition, it can be conveniently retrofitted to existing nation-wide MCTA offering DPT capabilities with limited implementation cost.

Original languageEnglish
Title of host publicationProceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages355-360
Number of pages6
ISBN (Electronic)978-1-6654-5176-5
ISBN (Print)978-1-6654-5177-2
DOIs
Publication statusPublished - 2022
Event23rd IEEE International Conference on Mobile Data Management, MDM 2022 - Virtual, Paphos, Cyprus
Duration: 6 Jun 20229 Jun 2022
Conference number: 23

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
PublisherIEEE
Volume2022
ISSN (Print)1551-6245
ISSN (Electronic)2375-0324

Conference

Conference23rd IEEE International Conference on Mobile Data Management, MDM 2022
Abbreviated titleMDM 2022
Country/TerritoryCyprus
CityVirtual, Paphos
Period6/06/229/06/22

Keywords

  • 2024 OA procedure

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