Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions

by   Davide Andreoletti, et al.

The outbreak of coronavirus disease 2019 (covid-19) is imposing a severe worldwide lock-down. Contact tracing based on smartphones' applications (apps) has emerged as a possible solution to trace contagions and enforce a more sustainable selective quarantine. However, a massive adoption of these apps is required to reach the critical mass needed for effective contact tracing. As an alternative, geo-location technologies in next generation networks (e.g., 5G) can enable Mobile Operators (MOs) to perform passive tracing of users' mobility and contacts with a promised accuracy of down to one meter. To effectively detect contagions, the identities of positive individuals, which are known only by a Governmental Authority (GA), are also required. Note that, besides being extremely sensitive, these data might also be critical from a business perspective. Hence, MOs and the GA need to exchange and process users' geo-locations and infection status data in a privacy-preserving manner. In this work, we propose a privacy-preserving protocol that enables multiple MOs and the GA to share and process users' data to make only the final users discover the number of their contacts with positive individuals. The protocol is based on existing privacy-enhancing strategies that guarantee that users' mobility and infection status are only known to their MOs and to the GA, respectively. From extensive simulations, we observe that the cost to guarantee total privacy (evaluated in terms of data overhead introduced by the protocol) is acceptable, and can also be significantly reduced if we accept a negligible compromise in users' privacy.



There are no comments yet.


page 1


DIMY: Enabling Privacy-preserving Contact Tracing

The infection rate of COVID-19 and lack of an approved vaccine has force...

Approach for GDPR Compliant Detection of COVID-19 Infection Chains

While prospect of tracking mobile devices' users is widely discussed all...

PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching

The spread of COVID-19 has highlighted the need for a robust contact tra...

A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging

Digital contact tracing is one of the actions useful, in combination wit...

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

The outbreak of viruses have necessitated contact tracing and infection ...

Tracking and Controlling the Spread of a Virus in a Privacy-Preserving Way

Today, tracking and controlling the spread of a virus is a crucial need ...

Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets

Contact tracing has emerged as one of the main mitigation strategies to ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.