Large Scale Data Anonymisation for GDPR Compliance

Autor:	Ines Ortega-Fernandez, Sara El Kortbi Martinez, Lilian Adkinson Orellana
Rok vydání:	2021
Zdroj:	Big Data and Artificial Intelligence in Digital Finance ISBN: 9783030945893 Big Data and Artificial Intelligence in Digital Finance
DOI:	10.1007/978-3-030-94590-9_19
Popis:	General Data Protection Regulation (GDPR) has been in place since May 2018 to give EU citizens more control over their personal data, applying principles like security and privacy by design. One of the most powerful tools to allow data processing while being compliant with data protection regulations is anonymisation, a procedure that consists of transforming data in such a way that makes no longer possible the re-identification of the data subjects. This chapter describes how anonymisation can be performed at a large scale, addressing common challenges to become GDPR compliant.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d25ba2204dfa45c36a4280d9a106f1 https://doi.org/10.1007/978-3-030-94590-9_19 Zobrazit plný text záznamu