IoTrace: A Flexible, Efficient, and Privacy-Preserving IoT-enabled Architecture for Contact Tracing
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by
Pietro Tedeschi, Spiridon Bakiras, Roberto Di Pietro
2020
Abstract
Contact tracing promises to help fight the diffusion of Covid-19 via an early
detection of possible sources of further contagion. A number of applications
have been proposed to this aim. All of them have in common the underlying
architecture: smartphones transmit beacons. On top of this, solutions are
adopted to provide some privacy guarantees to the users. In this paper, we
relax the smartphone-centric assumption, and propose an IoT-enabled
architecture for contact tracing that enjoys the following features: i) it
reduces the overhead on the end-user to the bare minimum---it requires the
mobile phone to only broadcast its beacons; ii) it provides the user with a
degree of privacy not achieved by competing solutions---even in the most
privacy adverse scenario, the solution provides k-anonymity; and, iii) it is
tunable: the very same architecture can be configured to support several
models, ranging from the fully decentralized to the fully centralized ones.
Finally, we also highlight open issues and future directions. We believe that
the novelty of the proposal, as well as its striking properties and
flexibility, has the potential to pave the way for further research.
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