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Demo: Data Minimization and Informed Consent in Administrative Forms

Published: 21 November 2023 Publication History

Abstract

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.

References

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N. Anciaux, S. Frittella, B. Joffroy, B. Nguyen, and G. Scerri. A new PET for data collection via forms with data minimization, full accuracy and informed consent. In Proc. of the 27th Extending Database Technology Conference, 2024, to appear.
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T. Antignac, D. Sands, and G. Schneider. Data minimisation: a language-based approach. In IFIP International Conference on ICT Systems Security and Privacy Protection, pages 442--456. Springer, 2017.
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A. J. Biega, P. Potash, H. Daumé, F. Diaz, and M. Finck. Operationalizing the legal principle of data minimization for personalization. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 399--408, 2020.
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  1. Demo: Data Minimization and Informed Consent in Administrative Forms

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    cover image ACM Conferences
    CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
    November 2023
    3722 pages
    ISBN:9798400700507
    DOI:10.1145/3576915
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 21 November 2023

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    Author Tags

    1. data minimization
    2. gdpr
    3. informed consent
    4. privacy

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    Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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    CCS '24
    ACM SIGSAC Conference on Computer and Communications Security
    October 14 - 18, 2024
    Salt Lake City , UT , USA

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