Big Data, Anonymisation and Governance to Personal Data Protection

被引:6
作者
Carvalho, Artur Potiguara [1 ]
Carvalho, Fernanda Potiguara [2 ]
Canedo, Edna Dias [3 ]
Potiguara Carvalho, Pedro Henrique [4 ]
机构
[1] Univ Brasilia UnB, Elect Engn Dept ENE, Technol Coll, Brasilia, DF, Brazil
[2] Univ Brasilia UnB, Law Sch FD, Brasilia, DF, Brazil
[3] Univ Brasilia UnB, Dept Comp Sci, POB 4466, BR-70910900 Brasilia, DF, Brazil
[4] Univ Brasilia UnB, Brasilia, DF, Brazil
来源
PROCEEDINGS OF THE 21ST ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2020 | 2020年
关键词
Anonymisation; Big Data; Privacy; Governance; Personal Data Protection;
D O I
10.1145/3396956.3398253
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a massive processing data era, an emerging impasse has taking scenario: privacy. In this context, personal data receive particular attention, witch its laws and guidelines that ensure better and legal use of data. The General Data Protection Regulation (GDPR) - in the European Union - and the Brazilian General Data Protection Law (LGPD) - in Brazil - lead to anonymisation (and its processes and techniques) as a way to reach secure use of personal data. However, expectations placed on this tool must be reconsidered according to risks and limits of its use, mainly when this technique is applied to Big Data. We discussed whether anonymisation used in conjunction with good data governance practices could provide greater protection for privacy. We conclude that good governance practices can strengthen privacy in anonymous data belonging to a Big Data, and we present a suggestive governance framework aimed at privacy.
引用
收藏
页码:185 / 195
页数:11
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