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Allowing Privacy-Preserving Smart City Open Data Linkage

Authors:
Francesco Buccafurri
Celeste Romolo

Keywords: Open Data; Privacy; Linked Data.

Abstract:
Open data are a crucial component of the smart-city ecosystem. In this scenario, many subsystems exist, like transport, shopping, cinema, theatre, utilities consumption, etc. Data coming from the interaction of citizens with these subsystems can be anonymized and published as open data, according to normative requirements and best practices. Therefore, any third-party (even government) entity can perform isolated data analytics, but it is not able to relate open data referring to the same citizen thus missing a lot of potential powerful information. In this position paper, we present a cryptographic approach aimed at allowing cross-correlation of smart-city open data only to authorized parties yet preserving citizens' privacy. The solution leverages the public digital identity system compliant with eIDAS (the European framework) by giving to the Identity Providers the role of Trusted Third Party.

Pages: 9 to 12

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-707-8

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019