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

Artur Carvalho, Edna Canedo, Fernanda Carvalho, Pedro Carvalho

Abstract

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.

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Paper Citation


in Harvard Style

Carvalho A., Canedo E., Carvalho F. and Carvalho P. (2020). Anonymisation and Compliance to Protection Data: Impacts and Challenges into Big Data.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 31-41. DOI: 10.5220/0009411100310041


in Bibtex Style

@conference{iceis20,
author={Artur Carvalho and Edna Canedo and Fernanda Carvalho and Pedro Carvalho},
title={Anonymisation and Compliance to Protection Data: Impacts and Challenges into Big Data},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={31-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009411100310041},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Anonymisation and Compliance to Protection Data: Impacts and Challenges into Big Data
SN - 978-989-758-423-7
AU - Carvalho A.
AU - Canedo E.
AU - Carvalho F.
AU - Carvalho P.
PY - 2020
SP - 31
EP - 41
DO - 10.5220/0009411100310041