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2021 | OriginalPaper | Chapter

Anonimisation, Impacts and Challenges into Big Data: A Case Studies

Authors : Artur Potiguara Carvalho, Edna Dias Canedo, Fernanda Potiguara Carvalho, Pedro Henrique Potiguara Carvalho

Published in: Enterprise Information Systems

Publisher: Springer International Publishing

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Abstract

In a context in which privacy is increasingly demanded by citizens and by various institutions, reflected in protection laws, anonymity emerges as an essential tool. Both the General Data Protection Regulation (GDPR) in the EU and the Brazilian General Data Protection Law (LGPD) provide a softer regulation for anonymised data, compared to personal data. Despite the legal advantages in their use, anonymisation tools have limits that should be considered, especially when it comes to massive data contexts. The work seeks to analyze whether anonymisation techniques can satisfactorily ensure privacy in big data environments, without taking other measures in favor of privacy. Based on two hypothetical cases, we realized that the anonymisation techniques, although well implemented, must be associated with governance techniques to avoid latent breaches of privacy. Besides that, we point out some guidelines identified in the case studies for the use of anonymous data in Big Data.

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Footnotes
1
The term is spelled with two variants: “anonymisation”, used in the European context; or “anonymization” used in the US context. We adopt in this article the European variant because the work uses the GDPR [19] as reference.
 
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Metadata
Title
Anonimisation, Impacts and Challenges into Big Data: A Case Studies
Authors
Artur Potiguara Carvalho
Edna Dias Canedo
Fernanda Potiguara Carvalho
Pedro Henrique Potiguara Carvalho
Copyright Year
2021
Book
Enterprise Information Systems

Print ISBN: 978-3-030-75417-4

Electronic ISBN: 978-3-030-75418-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-75418-1_1

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