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Neural information processing : 28th international conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, proceedings, part V / / edited Teddy Mantoro [and four others]
| Neural information processing : 28th international conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, proceedings, part V / / edited Teddy Mantoro [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (802 pages) |
| Disciplina | 943.005 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Electronic data processing
Punched card systems |
| ISBN | 3-030-92307-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910512170303321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural information processing : 28th international conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, proceedings, part V / / edited Teddy Mantoro [and four others]
| Neural information processing : 28th international conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, proceedings, part V / / edited Teddy Mantoro [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (802 pages) |
| Disciplina | 943.005 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Electronic data processing
Punched card systems |
| ISBN | 3-030-92307-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464523103316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Optical and SAR remote sensing of urban areas : a practical guide / / Courage Kamusoko
| Optical and SAR remote sensing of urban areas : a practical guide / / Courage Kamusoko |
| Autore | Kamusoko Courage |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (126 pages) |
| Disciplina | 943.005 |
| Collana | Springer Geography |
| Soggetto topico |
Electronic data processing
Punched card systems |
| ISBN |
981-16-5148-5
981-16-5149-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743390103321 |
Kamusoko Courage
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Performance evaluation and benchmarking : 14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, revised selected papers / / edited by Raghunath Nambiar and Meikel Poess
| Performance evaluation and benchmarking : 14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, revised selected papers / / edited by Raghunath Nambiar and Meikel Poess |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (159 pages) |
| Disciplina | 943.005 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Database management |
| ISBN |
9783031295768
9783031295751 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pick and Mix Isolation Levels: Mixed Serialization Graph Testing -- BODS: A Benchmark on Data Sortedness -- Disaggregated Database Management Systems (Panel) -- TPCx-AI on NVIDIA Jetson -- More the Merrier: Comparative evaluation of TPCx-AI and MLPerf Benchmarks for AI -- Preliminary Scaling Characterization with TPCx-AI -- 4mbench: Performance Benchmark of Manufacturing Business Database -- Benchmarking considerations for Trustworthy and Responsible AI (Panel) -- TPCx-AI: First Adopter's Experience Report -- New Initiatives in the TPC. |
| Record Nr. | UNISA-996517751903316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Performance evaluation and benchmarking : 14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, revised selected papers / / edited by Raghunath Nambiar and Meikel Poess
| Performance evaluation and benchmarking : 14th TPC Technology Conference, TPCTC 2022, Sydney, NSW, Australia, September 5, 2022, revised selected papers / / edited by Raghunath Nambiar and Meikel Poess |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (159 pages) |
| Disciplina | 943.005 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Database management |
| ISBN |
9783031295768
9783031295751 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pick and Mix Isolation Levels: Mixed Serialization Graph Testing -- BODS: A Benchmark on Data Sortedness -- Disaggregated Database Management Systems (Panel) -- TPCx-AI on NVIDIA Jetson -- More the Merrier: Comparative evaluation of TPCx-AI and MLPerf Benchmarks for AI -- Preliminary Scaling Characterization with TPCx-AI -- 4mbench: Performance Benchmark of Manufacturing Business Database -- Benchmarking considerations for Trustworthy and Responsible AI (Panel) -- TPCx-AI: First Adopter's Experience Report -- New Initiatives in the TPC. |
| Record Nr. | UNINA-9910683349503321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Perinatal, preterm and paediatric image analysis : 7th international workshop, PIPPI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings / / edited by Roxane Licandro [and four others]
| Perinatal, preterm and paediatric image analysis : 7th international workshop, PIPPI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings / / edited by Roxane Licandro [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 943.005 |
| Collana | Lecture Notes in Computer Science Ser. |
| Soggetto topico |
Electronic data processing
Punched card systems |
| ISBN | 3-031-17117-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Automatic Segmentation of the Placenta in BOLD MRI Time Series -- 1 Introduction -- 2 Methods -- 2.1 Model -- 2.2 Additive Boundary Loss -- 2.3 Implementation Details -- 3 Model Evaluation -- 3.1 Data -- 3.2 Evaluation -- 3.3 Results -- 4 Discussion and Conclusion -- References -- A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field -- 1 Introduction -- 2 Methods -- 2.1 Evaluation -- 2.2 Analysis -- 3 Results -- 4 Discussion and Conclusions -- References -- Automatic Fetal Fat Quantification from MRI -- 1 Introduction -- 2 Methodology -- 2.1 Semi-automatic Fetal AT Segmentation -- 2.2 Automatic Fetal Fat Segmentation -- 3 Experimental Results -- 3.1 Study 1: Manual and Semi-automatic Observer Variability -- 3.2 Study 2: Automatic Fetal AT Segmentation -- 3.3 Study 3: Analysis of Manual Corrections Following Automatic Segmentation -- 4 Discussion -- 5 Conclusion -- References -- Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation -- 1 Introduction -- 2 Method -- 2.1 Pre-train Stage -- 2.2 Refine Stage -- 2.3 Inference Stage -- 3 Experiments -- 3.1 Setup -- 3.2 Results -- 4 Conclusion -- References -- Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Model Architecture -- 3 Results -- 4 Conclusion -- References -- Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI -- 1 Introduction -- 2 Materials and Methods -- 2.1 Proposed Network Architecture -- 2.2 Alternative Methods and Evaluation Metrics -- 2.3 Data, Implementation, and Training -- 3 Results -- 4 Analysis and Discussion -- 5 Conclusion -- References -- Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data -- 1 Introduction -- 2 Method -- 3 Results.
4 Conclusion -- References -- Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI -- 1 Introduction -- 1.1 Deep Learning Segmentation -- 1.2 Label Propagation -- 1.3 Contribution -- 2 Methods -- 2.1 Data Specifications -- 2.2 Deep Learning Segmentation Framework -- 2.3 Label Propagation -- 2.4 Attention U-Net Segmentation -- 3 Results -- 3.1 Preliminary Network Architecture Experiments -- 3.2 Test Set and Experiments -- 3.3 Quantitative Results -- 3.4 Visual Inspection -- 4 Discussion -- 5 Conclusion -- References -- Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts -- 1 Introduction -- 2 Methods -- 2.1 Cohort, Datasets and Preprocessing -- 2.2 Parcellation Map of Periventricular WM ROIs in the Atlas Space -- 2.3 Automated Segmentation of Periventricular WM ROIs -- 2.4 Quantitative Analysis of PWM in Term and Preterm Cohorts -- 3 Results and Discussion -- 3.1 Parcellation Map of Periventricular WM ROIs in the Atlas Space -- 3.2 Automated Segmentation of Periventricular WM ROIs -- 3.3 Quantitative Analysis of PWM in Term and Preterm Cohorts -- 4 Conclusions -- References -- Knowledge-Guided Segmentation of Isointense Infant Brain -- 1 Introduction -- 2 Methodology -- 2.1 Dataset and Atlas -- 2.2 Data Preparation -- 2.3 Deep Learning Network -- 2.4 Implementation Details -- 3 Experiments and Results -- 3.1 iSeg19 Validation Dataset -- 4 Discussion and Conclusions -- References -- Author Index. |
| Record Nr. | UNISA-996490353203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Perinatal, Preterm and Paediatric Image Analysis : 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / / edited by Roxane Licandro, Andrew Melbourne, Esra Abaci Turk, Christopher Macgowan, Jana Hutter
| Perinatal, Preterm and Paediatric Image Analysis : 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / / edited by Roxane Licandro, Andrew Melbourne, Esra Abaci Turk, Christopher Macgowan, Jana Hutter |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 943.005 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications |
| ISBN | 3-031-17117-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Automatic Segmentation of the Placenta in BOLD MRI Time Series -- 1 Introduction -- 2 Methods -- 2.1 Model -- 2.2 Additive Boundary Loss -- 2.3 Implementation Details -- 3 Model Evaluation -- 3.1 Data -- 3.2 Evaluation -- 3.3 Results -- 4 Discussion and Conclusion -- References -- A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field -- 1 Introduction -- 2 Methods -- 2.1 Evaluation -- 2.2 Analysis -- 3 Results -- 4 Discussion and Conclusions -- References -- Automatic Fetal Fat Quantification from MRI -- 1 Introduction -- 2 Methodology -- 2.1 Semi-automatic Fetal AT Segmentation -- 2.2 Automatic Fetal Fat Segmentation -- 3 Experimental Results -- 3.1 Study 1: Manual and Semi-automatic Observer Variability -- 3.2 Study 2: Automatic Fetal AT Segmentation -- 3.3 Study 3: Analysis of Manual Corrections Following Automatic Segmentation -- 4 Discussion -- 5 Conclusion -- References -- Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation -- 1 Introduction -- 2 Method -- 2.1 Pre-train Stage -- 2.2 Refine Stage -- 2.3 Inference Stage -- 3 Experiments -- 3.1 Setup -- 3.2 Results -- 4 Conclusion -- References -- Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Model Architecture -- 3 Results -- 4 Conclusion -- References -- Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI -- 1 Introduction -- 2 Materials and Methods -- 2.1 Proposed Network Architecture -- 2.2 Alternative Methods and Evaluation Metrics -- 2.3 Data, Implementation, and Training -- 3 Results -- 4 Analysis and Discussion -- 5 Conclusion -- References -- Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data -- 1 Introduction -- 2 Method -- 3 Results.
4 Conclusion -- References -- Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI -- 1 Introduction -- 1.1 Deep Learning Segmentation -- 1.2 Label Propagation -- 1.3 Contribution -- 2 Methods -- 2.1 Data Specifications -- 2.2 Deep Learning Segmentation Framework -- 2.3 Label Propagation -- 2.4 Attention U-Net Segmentation -- 3 Results -- 3.1 Preliminary Network Architecture Experiments -- 3.2 Test Set and Experiments -- 3.3 Quantitative Results -- 3.4 Visual Inspection -- 4 Discussion -- 5 Conclusion -- References -- Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts -- 1 Introduction -- 2 Methods -- 2.1 Cohort, Datasets and Preprocessing -- 2.2 Parcellation Map of Periventricular WM ROIs in the Atlas Space -- 2.3 Automated Segmentation of Periventricular WM ROIs -- 2.4 Quantitative Analysis of PWM in Term and Preterm Cohorts -- 3 Results and Discussion -- 3.1 Parcellation Map of Periventricular WM ROIs in the Atlas Space -- 3.2 Automated Segmentation of Periventricular WM ROIs -- 3.3 Quantitative Analysis of PWM in Term and Preterm Cohorts -- 4 Conclusions -- References -- Knowledge-Guided Segmentation of Isointense Infant Brain -- 1 Introduction -- 2 Methodology -- 2.1 Dataset and Atlas -- 2.2 Data Preparation -- 2.3 Deep Learning Network -- 2.4 Implementation Details -- 3 Experiments and Results -- 3.1 iSeg19 Validation Dataset -- 4 Discussion and Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910595031203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Practical database auditing for Microsoft SQL Server and Azure SQL : troubleshooting, regulatory compliance, and governance / / Josephine Bush
| Practical database auditing for Microsoft SQL Server and Azure SQL : troubleshooting, regulatory compliance, and governance / / Josephine Bush |
| Autore | Bush Josephine |
| Pubbl/distr/stampa | Berkeley, California : , : Apress L. P., , [2022] |
| Descrizione fisica | 1 online resource (312 pages) |
| Disciplina | 943.005 |
| Soggetto topico | Database management |
| ISBN | 1-4842-8634-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents: -- IntroductionPart I. Getting Started with AuditingChapter 1. Why Auditing is ImportantChapter 2. Types of -- AuditingPart II. Implementing AuditingChapter 3. What is SQL Server Audit? Chapter 4. Implementing SQL Server -- Audit via the GUI Chapter 5. Implementing SQL Server Audit via SQL Scripts Chapter 6: What is Extended Events? -- Chapter 7: Implementing Extended Events via the GUI Chapter 8: Implementing Extended Events via SQL Scripts -- Chapter 9. Tracking SQL Server Configuration Changes Chapter 10. Additional SQL Server Auditing and Tracking -- Methods Part III. Centralizing and Reporting on Auditing DataChapter 11. Centralizing Audit Data Chapter 12. -- Create Reports from Audit DataPart IV. Cloud Auditing OptionsChapter 13. Auditing Azure SQL Databases Chapter -- 14. Auditing Azure SQL Managed Instance Chapter 15. Other Cloud Provider Auditing OptionsPart V. -- AppendixesAppendix A. Database Auditing Options Comparison. |
| Record Nr. | UNINA-9910595047003321 |
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Bush Josephine
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| Berkeley, California : , : Apress L. P., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Privacy symposium 2022 : data protection law international convergence and compliance with innovative technologies (DPLICIT) / / edited by Stefan Schiffner, Sebastien Ziegler, Adrian Quesada Rodriguez
| Privacy symposium 2022 : data protection law international convergence and compliance with innovative technologies (DPLICIT) / / edited by Stefan Schiffner, Sebastien Ziegler, Adrian Quesada Rodriguez |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina | 943.005 |
| Soggetto topico | Data protection - Law and legislation |
| ISBN | 3-031-09901-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Executive Commitee -- Steering Committee -- Program Commitee -- Additional Referees -- Sponsoring Institutions -- Contents -- Part I Privacy Friendly Data Usage -- 1 An Overview of the Secondary Use of Health Data Within the European Union: EU-Driven Possibilities and Civil Society Initiatives -- 1 Introduction: The Potential of the Secondary Use of Data for Health and Care in the European Union -- 2 The Legal Framework in the European Union -- 2.1 The Secondary Use of Health Data Within the General Data Protection Regulation (GDPR) -- 2.2 The Data Governance Act: A Debated First Approach to the Secondary Use of Data -- 2.3 Artificial Intelligence and Personal Data in the EU Framework -- 3 Initiatives Towards the Use of Data Within Healthcare Research -- 3.1 Policymaker Initiatives -- 3.2 Civil Society Initiatives -- 4 Discussion -- 5 Conclusions -- References -- 2 Multi-Party Computation in the GDPR -- 1 Introduction -- 2 Multi-Party Computation -- 2.1 Introduction -- 2.2 Private Set Intersection -- 2.3 Security -- 3 GDPR: Personal Data -- 3.1 Absolute Approach -- 3.2 Relative Approach -- 3.3 Risk-Based Approach -- 3.4 Conclusion -- 4 GDPR: Data Protection by Design -- 4.1 Article 25 -- 4.2 Privacy Engineering -- 4.2.1 Privacy-Enhancing Technologies -- 4.3 EDPB Guidelines -- 4.4 Conclusion -- 5 MPC in the GDPR -- 5.1 Related Work -- 5.2 Test -- 5.2.1 Absolute vs. Relative -- 5.2.2 Input Data -- 5.2.3 Output Data -- 5.2.4 Data Minimization -- 5.3 Security Model and Trust Assumption -- 5.3.1 GDPR Avoidance -- 5.3.2 Data Protection by Design -- 6 Scenarios -- 6.1 Private Set Intersection -- 6.1.1 Solution 1 -- 6.1.2 Solution 2 -- 6.1.3 Solution 3 -- 6.2 Outsourcing -- 6.2.1 Solution -- 6.2.2 Variant -- 7 Conclusion -- References -- 3 A Critique of the Google Apple Exposure Notification (GAEN) Framework.
1 Introduction -- 2 How Contact Tracing and Exposure Notification Works -- 3 The GAEN Framework -- 4 How the GAEN Framework Differs from a Purely App-Based Approach -- 5 A Critique of the GAEN Framework -- 5.1 GAEN Creates a Dormant Mass Surveillance Tool -- 5.2 Google and Apple Control the Exposure Notification Microdata -- 5.3 Distributed Can Be Made Centralised -- 5.4 Google and Apple Dictate How Contact Tracing Works -- 5.5 Function Creep -- 6 Conclusion -- References -- Part II Implications of Regulatory Framework in the European Union -- 4 Global Data Processing Identifiers and Registry (DP-ID) -- 1 Introduction -- 2 Global Data Processing Identifier Registry Concept -- 3 Facilitating GDPR Compliance -- 3.1 Obligation to Inform Art. 12, 13, 14 -- 3.2 Data Protection by Design and Default Art. 25 -- 4 Data Processing-Identified Requirements -- 5 DP-ID Implementation -- 6 Data Processing Identifier Format -- 7 Enabling Data Processing Mapping -- 8 Demonstrating Integrability and Portability -- 9 Demonstrating Interoperability -- 10 Demonstrating Cross-Organization Data Protection Compliance Management -- 11 Use Cases -- 12 Conclusion and Future Work -- References -- 5 Europrivacy Paradigm Shift in Certification Models for Privacy and Data Protection Compliance -- 1 Introduction -- 1.1 Europrivacy Genesis -- 1.2 Purpose and Scope of the Chapter -- 2 GDPR Certification -- 3 Certification Scheme Model Dilemma -- 3.1 Partial Certification Schemes Limits -- 3.2 Universal Certification Schemes Limits -- 3.3 Specialised Certification Schemes Limits -- 4 The Europrivacy Hybrid Model -- 5 Supporting Multi-jurisdictional Requirements -- 6 Addressing a Fast-Changing Normative Environment -- 7 Reducing the Risk of Subjectivity in Certification Processes -- 8 Conclusion and Future Work -- References. Part III What is Beyond Brussels? International Norms and Their Interactions with the EU -- 6 Untying the Gordian Knot: Legally Compliant Sound Data Collection and Processing for TTS Systems in China -- 1 Introduction -- 2 Sample Project Description -- 2.1 Project Frame and Objectives -- 2.2 Focus on Data Collection and Processing -- 3 Legal Impacts on the Collection of Data -- 3.1 Legal Basis for Transnational Research -- 3.2 Applicability of GDPR and PIPL -- 3.3 Addressees of the Legal Provisions -- 3.4 Data Processing in the EU and China -- 3.5 Data Minimization, Anonymization, and Pseudonymization -- 3.6 Retention or Deletion Period -- 3.7 Data Transmission from China to the EU -- 3.8 Data Implementation -- 3.9 Formalities -- 3.10 Supervisory Authorities -- 4 Final Comparison -- 5 Conclusion -- References -- 7 Regulating Cross-Border Data Flow Between EU and India Using Digital Trade Agreement: An Explorative Analysis -- 1 Introduction -- 2 Regulatory Landscape of Cross-Border Data Transfer -- 2.1 Current Regulatory Landscape for Cross-Border Data Transfer in the EU -- 2.2 Current Regulatory Landscape for Cross-Border Data Transfer in India -- 3 Regulation Acting as Trade Barrier -- 3.1 GDPR and Its ``Brussels Effect''-Limitation on Cross-Border Data Flow and Challenges of Implementation -- 3.2 India and Its Data Localization Measure-Protectionist Measures and Challenges to Digital Trade -- 3.3 Analyzing Restrictive Data Transfer Mechanisms Acting as a Barrier Under Trade Law-GATS -- 3.3.1 GATS and Its Relevance to Cross-Border Data Flows -- 3.3.2 Possibility of Data Protection Laws of EU and India Being in Contravention of GATS -- 4 Need for Harmonization -- 4.1 Free-Trade Agreements as an Alternative? -- 4.2 Analyzing Proposed EU Horizontal Provisions -- 5 Conclusion and Proposed Way Forward -- References. 8 When Regulatory Power and Industrial Ambitions Collide: The "Brussels Effect," Lead Markets, and the GDPR -- 1 Introduction -- 2 The "Brussels Effect" and Regulation-Induced Lead Markets -- 2.1 "Unilateral Regulatory Globalization": The "Brussels Effect" -- 2.2 Regulation-Induced Lead Markets -- 3 The GDPR and "Privacy Tech" -- 3.1 The GDPR: Setting Rules for Foreign Technology Companies -- 3.2 Regulatory Diffusion -- 3.3 Compliance Tools: "Privacy Tech" -- 4 Creating Lead Markets Abroad: The GDPR and the Development of a "Privacy Tech" Market and Industry -- 4.1 Research Strategy -- 4.2 Industry Growth -- 4.3 Geographical Distribution of Privacy Tech Firms -- 4.4 Explaining the Privacy Tech Industry's Evolution -- 5 Conclusion: Regulation and the Preconditions for the Emergence of Lead Markets -- References -- Part IV The Ethics of Privacy and Sociotechnical Systems -- 9 Nobody Wants My Stuff and It Is Just DNA Data, Why Should I Be Worried -- 1 Introduction -- 2 Background and Related Work -- 2.1 Public Genealogy Database: GEDmatch -- 2.2 Genetic Data Sharing Risks -- 2.3 Users' Motivation and Privacy Perception -- 3 Methodology -- 3.1 Recruitment and Demographics -- 3.2 Method and Analysis -- 4 Results -- 4.1 Pre-introduction of DNA Testing: Non-experienced Group Only -- 4.1.1 Foreknowledge about DNA Testing and Procedure -- 4.1.2 Expected Benefits and Concerns -- 4.2 Post-introduction of DNA Testing: Non-experienced Group -- 4.2.1 Interest and Motivations -- 4.2.2 No Interest and Concerns -- 4.3 Users' Experience: Experienced Group Only -- 4.3.1 Background -- 4.3.2 Concerns and Benefits After Taking Test -- 4.4 Post GEDmatch Demo -- 4.4.1 Benefits and Concerns -- 4.4.2 Expected use of DNA Data -- 4.4.3 Expected Data Access and Data Handling -- 4.4.4 Opt-in or Opt-out -- 4.5 DTC-GT VS GEDmatch -- 4.6 Scenarios: DNA Data Sharing. 4.6.1 Subpoenas and Sharing: Law Enforcement -- 4.6.2 Perceptions about Sharing Data in Health Research -- 4.6.3 Hereditary Diseases -- 4.6.4 DNA Data Access by Insurance Company -- 4.7 Scenarios Effects -- 4.7.1 Helplessness and Resignation -- 4.7.2 Fear and Attitude Change -- 4.7.3 Regret and Realization -- 4.7.4 Defensive and Low Expectation of Privacy -- 4.7.5 Consent and Victimize -- 4.8 Lack of Knowledge -- 4.9 Race and Nation: DNA Data Sharing -- 4.10 Future Expectation DNA Sharing/ Future Motivation -- 4.11 Users' Suggestions (Privacy Preserving) -- 5 Discussion -- 5.1 Privacy Perceptions -- 5.2 Privacy Trade-off -- 5.3 Attitude Differences -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- 10 Unwinding a Legal and Ethical Ariadne's Thread Out of the Twitter Scraping Maze -- 1 Introduction -- 2 Methodology and Research Questions -- 3 Research Scenario: Dark Patterns, Twitter, and Accountability -- 4 Protecting Users' Data and Identity -- 4.1 Personal Data in Social Media Research -- 4.2 Confidentiality -- 4.2.1 Anonymization and Pseudonymization -- 4.2.2 Encryption, Secure Authentication, and Access Control -- 4.3 Purpose Limitation -- 4.4 Data Minimization -- 4.5 Storage Limitation -- 4.6 Legal Basis -- 4.7 Transparency -- 4.8 Data Subjects' Rights -- 5 Ethics of Using Social Media Data for Research Purposes -- 5.1 Respect for the Autonomy, Privacy, and Dignity -- 5.1.1 Public vs. Private Information -- 5.1.2 Anonymity and Confidentiality -- 5.1.3 Informed Consent and Opt-out of Unwitting Participants -- 5.2 Scientific Integrity -- 5.2.1 Data Quality -- 5.2.2 Minors -- 5.3 Social Responsibility -- 5.3.1 Reputation Damage -- 5.3.2 Dual Use -- 5.3.3 Risks for Researchers -- 5.4 Maximize Benefits and Minimize Harm -- 6 Discussion -- 6.1 The Question of Time and Expertise -- 6.2 The Question of Motivation -- 6.3 Incentives. 7 Limitations and Future Work. |
| Record Nr. | UNISA-996495562603316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Privacy Symposium 2022 : Data Protection Law International Convergence and Compliance with Innovative Technologies (DPLICIT) / / edited by Stefan Schiffner, Sebastien Ziegler, Adrian Quesada Rodriguez
| Privacy Symposium 2022 : Data Protection Law International Convergence and Compliance with Innovative Technologies (DPLICIT) / / edited by Stefan Schiffner, Sebastien Ziegler, Adrian Quesada Rodriguez |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina |
943.005
342.0858 |
| Soggetto topico |
Computational intelligence
Telecommunication Data protection Information technology - Law and legislation Mass media - Law and legislation Computational Intelligence Communications Engineering, Networks Data and Information Security IT Law, Media Law, Intellectual Property |
| ISBN | 3-031-09901-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Conference overview -- International Law and Comparative Law in Data Protection and Compliance -- Multidisciplinary Approaches, Arbitration and Balance in Data Protection -- Emerging Technologies, Compliance, and Privacy -- Technology for Compliance and Data Protection -- Data Protection -- Cybersecurity and Data Protection -- Audit and Certification -- Data Subject Rights -- Conclusion. |
| Record Nr. | UNINA-9910736992403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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