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A Privacy-Preserving Contact Tracing System based on a Publish-Subscribe Model

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Author(s):
da Silva, Mikaella F. ; Santos, Bruno P. ; Rettore, Paulo H. L. ; Mota, Vinicius F. S.
Total Authors: 4
Document type: Journal article
Source: JOURNAL OF INTERNET SERVICES AND APPLICATIONS; v. 15, n. 1, p. 14-pg., 2024-01-01.
Abstract

In the context of the COVID-19 pandemic, using contact-tracking apps and measures such as social isolation and mask-wearing has emerged as an efficient strategy to mitigate the spread of the virus. Nonetheless, these apps have raised privacy concerns. This paper introduces a technique for enhancing Privacy in contact-tracing systems while preserving the data for research purposes. The contact-tracing system employs a unique identifier signed with a key associated with the application and the user. In this system, mobile devices serve as sensors sending beacons, actively detecting nearby devices, and transmitting the identifiers of surrounding contacts to a cloud-based platform. When a user reports a positive COVID-19 diagnosis, a dedicated web service identifies and tracks the identifiers associated with at-risk contacts. The system uses a topic-based publish-subscribe broker, and each identifier represents an individual topic to abstract contact communication and disseminate alert messages. To assess the system's efficacy, we conducted a use case with twenty volunteers using the mobile application for two weeks, representing a small university campus. The quantitative results of the use case demonstrated the system's capability of analyzing potential virus transmission and observing user's social interactions while maintaining their anonymity. (AU)

FAPESP's process: 23/00148-0 - SocialNet: social sensing to leverage new technologies and applications for the development of urban societies
Grantee:Thiago Henrique Silva
Support Opportunities: Regular Research Grants
FAPESP's process: 20/05182-3 - PORVIR-5G: programability, orchestration and virtualization in 5G networks
Grantee:José Marcos Silva Nogueira
Support Opportunities: Research Projects - Thematic Grants