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Digital contact tracing is one of the actions useful, in combination withother measures, to manage an epidemic diffusion of an infection disease in anafter-lock-down phase. This is a very timely issue, due to the pandemic ofCOVID-19 we are unfortunately living. Apps for contact tracing aim to detectproximity of users and to evaluate the related risk in terms of possiblecontagious. Existing approaches leverage Bluetooth or GPS, or theircombination, even though the prevailing approach is Bluetooth-based and relieson a decentralized model requiring the mutual exchange of ephemeral identifiersamong users' smartphones. Unfortunately, a number of security and privacyconcerns exist in this kind of solutions, mainly due to the exchange ofidentifiers, while GPS-based solutions (inherently centralized) may suffer fromthreats concerning massive surveillance. In this paper, we propose a solutionleveraging GPS to detect proximity, and Bluetooth only to improve accuracy,without enabling exchange of identifiers. Unlike related existing solutions, nocomplex cryptographic mechanism is adopted, while ensuring that the server doesnot learn anything about locations of users.

A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging