Demo : Data Minimization and Informed Consent in Administrative Forms

被引:0
|
作者
Anciaux, Nicolas [1 ,2 ]
Frittella, Sabine [3 ,4 ]
Joffroy, Baptiste [3 ,4 ]
Nguyen, Benjamin [3 ,4 ]
机构
[1] INRIA, Saclay, France
[2] Univ Paris Saclay Versailles, Saclay, France
[3] INSA Ctr Val Loire, LIFO, Bourges, France
[4] Univ Orleans, Orleans, France
来源
PROCEEDINGS OF THE 2023 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, CCS 2023 | 2023年
关键词
Privacy; Data minimization; GDPR; Informed consent;
D O I
10.1145/3576915.3624363
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article proposes a demonstration implementing the data minimization privacy principle, focusing on reducing data collected by government administrations through forms. Data minimization is defined in many privacy regulations worldwide, but has not seen extensive real-world application. We propose a model based on logic and game theory and show that it is possible to create a practical and efficient solution for a real French welfare benefit case.
引用
收藏
页码:3676 / 3678
页数:3
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