Anonymisation and Compliance to Protection Data: Impacts and Challenges into Big Data
Artur Carvalho, Edna Canedo, Fernanda Carvalho, Pedro Carvalho
2020
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.
DownloadPaper 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