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

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (187 pages)
• Disciplina: 005.8
• Soggetto topico: Computers and civilization; Application software; Computer networks; Computer systems; Cryptography; Data encryption (Computer science); Data protection; Computers and Society; Computer and Information Systems Applications; Computer Communication Networks; Computer System Implementation; Cryptology; Data and Information Security
• Persona (resp. second.): RannenbergKai; DrogkarisProkopios; LauradouxCe´dric
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 -- 9.1 Child Exploitation -- 9.2 Gambling -- 10 Broader Policy Options -- 11 Conclusion -- References -- Home Alone? Exploring the Geographies of Digitally-Mediated Privacy Practices at Home During the COVID-19 Pandemic -- 1 Introduction -- 2 Conceptual Discussions -- 2.1 Privacy is Collective -- 2.2 Privacy is Contextual -- 2.3 Privacy is Spatial -- 2.4 Privacy in the Pandemic -- 3 Conceptual Framework -- 4 Methods -- 4.1 Research Design: Semi-structured Interviews -- 4.2 Data Analysis: Thematic Analysis -- 5 Results and Discussion -- 5.1 The Blurring of the Work-Life Divide -- 5.2 Collective Dimensions of Privacy in Times of Pandemic -- 6 Future Research and Conclusions -- 6.1 Further Research and Practice Recommendations -- 6.2 Conclusions -- A Interview Questions -- A.1 Introduction -- A.2 Information Disclosure. ; A.3 Changes in Information Disclosure -- A.4 General Privacy Practices -- A.5 The Importance of Privacy -- A.6 Internet Tools for Fighting COVID-19 -- A.7 Wrap-Up -- B Code Book -- C Interview Question Formulation -- References -- Modelling Perceptions of Privacy -- From Dark Patterns to Fair Patterns? Usable Taxonomy to Contribute Solving the Issue with Countermeasures -- 1 Introduction -- 2 Current State of Play on Dark Patterns: Prevalence, Evidence of Harms and Legal Framework -- 2.1 Definitions and Prevalence -- 2.2 Evidence of Serious Individual and Structural Harms -- 2.3 Legal Framework -- 3 Usable Taxonomy to Empower All Stakeholders to Take Action and Fight Against Dark Patterns -- 3.1 Related Work -- 3.2 Proposal of a Usable Taxonomy -- 4 Discussion -- 5 Conclusion -- References -- A Singular Approach to Address Privacy Issues by the Data Protection and Privacy Relationships Model (DAPPREMO) -- 1 Introduction -- 2 Application of the Set Theory -- 3 The Relationships Between Objects and Those Between Subassemblies -- 4 Description of a Complex Multidimensional Model -- 5 The Model and the Role of the Subjects -- 6 DAPPREMO's Concrete Applications for Individuals and Institutions, and Future Developments: The Use of Artificial Intelligence -- 7 Conclusions -- References -- Author Index.
• Sommario/riassunto: 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. .
• Titolo autorizzato: Privacy Technologies and Policy
• ISBN: 3-031-61089-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910865239503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13888