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Privacy Technologies and Policy : 11th Annual Privacy Forum, APF 2023, Lyon, France, June 1-2, 2023, Proceedings / Kai Rannenberg, Prokopios Drogkaris, Cédric Lauradoux, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 13888.Publisher: Cham : Springer, 2024Description: 1 online resource (x, 183 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031610899
  • 303161089X
Other title:
  • APF 2023
Subject(s): Additional physical formats: Print version:: Privacy Technologies and PolicyDDC classification:
  • 005.8 23/eng/20240610
LOC classification:
  • QA76.9.A25
Online resources:
Contents:
Intro -- Preface -- Organization -- Contents -- Emerging Technologies and Protection of Personal Data -- A Universal Data Model for Data Sharing Under the European Data Strategy -- 1 Introduction -- 2 Background -- 2.1 The European Data Strategy -- 2.2 The Data Governance Act and Data Intermediaries -- 2.3 Digital Markets Act and Market Fairness -- 3 Related Work -- 4 Data Model -- 4.1 Requirements -- 4.2 Classes and Attributes -- 5 Illustrating Example -- 6 Application Areas -- 7 Discussion and Open Issues -- 8 Conclusion -- References
A Decision-Making Process to Implement the 'Right to Be Forgotten' in Machine Learning -- 1 Introduction -- 1.1 Paper Contributions -- 1.2 Paper Structure -- 2 Background -- 2.1 Machine Learning -- 2.2 Literature Review -- 3 Decision-Making Flow -- 3.1 Legal Requirements for Implementing the RTBF -- 3.2 Machine Learning Techniques for Erasure -- 4 Conclusion -- References -- Data Protection Principles and Data Subject Rights -- A Data Protection-Compliant Framework for Wi-Fi-Based Location Tracking (in Law Enforcement) -- 1 Introduction -- 2 Related Work
3 System and Scenario for a Domestic Wi-Fi Detector -- 3.1 Limitation of the Perimeter -- 3.2 Limitation of the Duration of Data Collection and Storage -- 3.3 Detection of Authorised and Unauthorised Devices -- 3.4 Lawfulness of Processing -- 3.5 Information Obligations - A Legal Minefield -- 3.6 Opt-Out Possibilities -- 4 Conclusion -- References -- Past and Present: A Case Study of Twitter's Responses to GDPR Data Requests -- 1 Introduction -- 2 Related Work -- 2.1 General Data Protection Regulation -- 2.2 Research Approaches Related to GDPR -- 2.3 Summary -- 3 Methodology
4 Evaluation of Data Requests -- 4.1 Past: First Request in 2018 -- 4.2 Present: Second Request in 2023 -- 4.3 From Past to Present -- 5 Discussion -- 5.1 Completeness, Accuracy, and Transparency -- 5.2 Data Minimization -- 5.3 Understandable vs. Machine-Readable -- 5.4 Advertisement and Tracking -- 5.5 Comparison with Twitter's Privacy Statement -- 6 Conclusion and Outlook -- A Definitions -- B Comparison of Past and Current Files -- References -- Modelling Data Protection and Privacy -- No Children in the Metaverse? The Privacy and Safety Risks of Virtual Worlds (and How to Deal with Them)
1 Introduction -- 2 What is the "Metaverse"? -- 3 Relevance and Risks to Children -- 4 Overarching Child Privacy and Safeguarding Legal Framework -- 5 Design of Virtual Reality Devices -- 6 Design of the Virtual Spaces in the Metaverse -- 6.1 PETs (and Other 'Privacy by Law' Initiatives) -- 6.2 DPIA -- 7 Could Consumer Laws Be the/an Answer? -- 8 Data Protection Challenges in the Metaverse -- 8.1 Territorial Scope -- 8.2 Consent -- 8.3 Necessity for the Performance of a Contract and Legitimate Interest -- 8.4 Augmented Privacy Notice -- 9 Safety of Children in the Metaverse
Summary: This book constitutes the refereed conference proceedings of the 11th Annual Privacy Forum, APF 2023 in Lyon, France in June 2023. The 8 full papers were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Emerging Technologies and Protection of Personal Data, Data Protection Principles and Data Subject Rights, Modelling Data Protection and Privacy, and Modelling Perceptions of Privacy.
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Total holds: 0

This book constitutes the refereed conference proceedings of the 11th Annual Privacy Forum, APF 2023 in Lyon, France in June 2023. The 8 full papers were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Emerging Technologies and Protection of Personal Data, Data Protection Principles and Data Subject Rights, Modelling Data Protection and Privacy, and Modelling Perceptions of Privacy.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed June 10, 2024).

Intro -- Preface -- Organization -- Contents -- Emerging Technologies and Protection of Personal Data -- A Universal Data Model for Data Sharing Under the European Data Strategy -- 1 Introduction -- 2 Background -- 2.1 The European Data Strategy -- 2.2 The Data Governance Act and Data Intermediaries -- 2.3 Digital Markets Act and Market Fairness -- 3 Related Work -- 4 Data Model -- 4.1 Requirements -- 4.2 Classes and Attributes -- 5 Illustrating Example -- 6 Application Areas -- 7 Discussion and Open Issues -- 8 Conclusion -- References

A Decision-Making Process to Implement the 'Right to Be Forgotten' in Machine Learning -- 1 Introduction -- 1.1 Paper Contributions -- 1.2 Paper Structure -- 2 Background -- 2.1 Machine Learning -- 2.2 Literature Review -- 3 Decision-Making Flow -- 3.1 Legal Requirements for Implementing the RTBF -- 3.2 Machine Learning Techniques for Erasure -- 4 Conclusion -- References -- Data Protection Principles and Data Subject Rights -- A Data Protection-Compliant Framework for Wi-Fi-Based Location Tracking (in Law Enforcement) -- 1 Introduction -- 2 Related Work

3 System and Scenario for a Domestic Wi-Fi Detector -- 3.1 Limitation of the Perimeter -- 3.2 Limitation of the Duration of Data Collection and Storage -- 3.3 Detection of Authorised and Unauthorised Devices -- 3.4 Lawfulness of Processing -- 3.5 Information Obligations - A Legal Minefield -- 3.6 Opt-Out Possibilities -- 4 Conclusion -- References -- Past and Present: A Case Study of Twitter's Responses to GDPR Data Requests -- 1 Introduction -- 2 Related Work -- 2.1 General Data Protection Regulation -- 2.2 Research Approaches Related to GDPR -- 2.3 Summary -- 3 Methodology

4 Evaluation of Data Requests -- 4.1 Past: First Request in 2018 -- 4.2 Present: Second Request in 2023 -- 4.3 From Past to Present -- 5 Discussion -- 5.1 Completeness, Accuracy, and Transparency -- 5.2 Data Minimization -- 5.3 Understandable vs. Machine-Readable -- 5.4 Advertisement and Tracking -- 5.5 Comparison with Twitter's Privacy Statement -- 6 Conclusion and Outlook -- A Definitions -- B Comparison of Past and Current Files -- References -- Modelling Data Protection and Privacy -- No Children in the Metaverse? The Privacy and Safety Risks of Virtual Worlds (and How to Deal with Them)

1 Introduction -- 2 What is the "Metaverse"? -- 3 Relevance and Risks to Children -- 4 Overarching Child Privacy and Safeguarding Legal Framework -- 5 Design of Virtual Reality Devices -- 6 Design of the Virtual Spaces in the Metaverse -- 6.1 PETs (and Other 'Privacy by Law' Initiatives) -- 6.2 DPIA -- 7 Could Consumer Laws Be the/an Answer? -- 8 Data Protection Challenges in the Metaverse -- 8.1 Territorial Scope -- 8.2 Consent -- 8.3 Necessity for the Performance of a Contract and Legitimate Interest -- 8.4 Augmented Privacy Notice -- 9 Safety of Children in the Metaverse

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