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Electrical Engineering Department (ENE), University of Brasília (UnB), P.O. Box 4466, Brasília - DF, Brazil

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1 Papers

Anonymisation and Compliance to Protection Data: Impacts and Challenges into Big Data

Topics: Strategic Decision Support Systems; Security; Large Scale Databases; Non-Relational Databases; Guidelines, Principles, Patterns and Standards

Authors: Artur Potiguara Carvalho ¹ , Edna Dias Canedo ² , Fernanda Potiguara Carvalho ³ and Pedro Henrique Potiguara Carvalho ¹

Affiliations: ¹ Electrical Engineering Department (ENE), University of Brasília (UnB), P.O. Box 4466, Brasília - DF, Brazil , ² Electrical Engineering Department (ENE), University of Brasília (UnB), P.O. Box 4466, Brasília - DF, Brazil, Department of Computer Science, University of Brasília (UnB), P.O. Box 4466, Brasília - DF, Brazil , ³ Law School (FD), University of Brasília (UnB), Brasília - DF, Brazil

Digital Object Identifier: 10.5220/0009411100310041

Proceedings of ICEIS 2020, ISBN: 978-989-758-423-7

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Nowadays, in the age of Big Data, we see a growing concern about privacy. Different countries have enacted laws and guidelines to ensure better use of data, especially personal data. Both the General Data Protection Regulation (GDPR) in the EU and the Brazilian General Data Protection Law (LGPD) outline anonymisation techniques as a tool to ensure the safe use of such data. However, the expectations placed on this tool must be reconsidered according to the risks and limits of its use. We discussed whether anonymity used exclusively can meet the demands of Big Data and, at the same time, the demands of privacy and security. We have concluded that, albeit anonymised, the massive use of data must respect good governance practices to preserve personal privacy. In this sense, we point out some guidelines for the use of anonymised data in the context of Big Data.