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Digital Infrastructure Policies for Data Security and Privacy in Smart Cities

Capitolo di libro
Data di Pubblicazione:
2022
Citazione:
Digital Infrastructure Policies for Data Security and Privacy in Smart Cities / S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati - In: Smart Cities Policies and Financing : Approaches and Solutions / [a cura di] J. Vacca. - [s.l] : Elsevier, 2022. - ISBN 978-0-12-819130-9. - pp. 249-261 [10.1016/B978-0-12-819130-9.00007-3]
Abstract:
The availability of large amounts of data is vital for the working of smart cities, which need to process heterogeneous information on citizens and the surrounding environment for enabling smart services. Since those data collections can include personal/sensitive information, ensuring security and privacy of the data collected and produced in a smart city is a key problem to be addressed. Two of the main pillars for protecting data privacy and security are anonymization and encryption, which however need to be carefully designed and adopted for ensuring effective protection while not compromising the possibility of performing analysis, a central aspect in smart cities. In this chapter, we address the problem of protecting large data collections in the context of smart cities, and illustrate possible approaches for effectively anonymizing data and for encrypting them, while permitting to perform computations.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Data security; data privacy; anonymization; encryption; collaborative computation
Elenco autori:
S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati
Autori di Ateneo:
DE CAPITANI DI VIMERCATI SABRINA ( autore )
FORESTI SARA ( autore )
LIVRAGA GIOVANNI ( autore )
SAMARATI PIERANGELA ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/897966
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/897966/1953460/dfls-chapter12b.pdf
Titolo del libro:
Smart Cities Policies and Financing : Approaches and Solutions
Progetto:
Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and Owner control (MOSAICrOWN)
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