01110cam0 2200277 450 E60020004451620200427090238.020090130d1963 |||||ita|0103 bagerDEHistorisch-kritische Untersuchungen zum Neuen TestamentFerdinand Christian Baurmit einer Einführung von Ernst KäsemannStuttgart-Bad CannstattFrommann VerlagHolzboog1963XXV, 505 p.18 cmAusgewählte Werke in Einzelausgaben1001LAEC000261122001 *Ausgewählte Werke in Einzelausgaben1Baur, Ferdinand Christian <1792-1860>A600200052260070151884Käsemann, ErnstA600200052261070ITUNISOB20200427RICAUNISOBUNISOB10031505E600200044516M 102 Monografia moderna SBNM100000273Si31505acquistobethUNISOBUNISOB20090130110106.020200427090208.0SpinosaHistorisch-kritische Untersuchungen zum Neuen Testament1679836UNISOB08145nam 22007935 450 991086523950332120251225193700.03-031-61089-X10.1007/978-3-031-61089-9(MiAaPQ)EBC31357849(Au-PeEL)EBL31357849(CKB)32169721700041(DE-He213)978-3-031-61089-9(EXLCZ)993216972170004120240529d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPrivacy Technologies and Policy 11th Annual Privacy Forum, APF 2023, Lyon, France, June 1–2, 2023, Proceedings /edited by Kai Rannenberg, Prokopios Drogkaris, Cédric Lauradoux1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (187 pages)Lecture Notes in Computer Science,1611-3349 ;138883-031-61088-1 Includes bibliographical references and index.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.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. .Lecture Notes in Computer Science,1611-3349 ;13888Computers and civilizationApplication softwareComputer networksComputer systemsCryptographyData encryption (Computer science)Data protectionComputers and SocietyComputer and Information Systems ApplicationsComputer Communication NetworksComputer System ImplementationCryptologyData and Information SecurityComputers 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.005.8Rannenberg KaiDrogkaris ProkopiosLauradoux Ce´dricMiAaPQMiAaPQMiAaPQBOOK9910865239503321Privacy Technologies and Policy1891838UNINA