Protecting your privacy in a data-driven world:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
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| Ausgabe: | First edition |
| Schriftenreihe: | ASA-CRC Series on statistical reasoning in science and society
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xiii, 133 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367640774 9780367640743 |
Internformat
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Datensatz im Suchindex
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| adam_text | Contents Preface ix Author xiii Chapter 1 • Why Is Data Privacy Important? 1 1.1 WHAT IS DATA PRIVACY? 2 1.2 WHY SHOULD ANYONE CARE? 3 1.3 WHY IS BALANCING DATA PRIVACY AND UTILITY HARD? 5 1.4 WHY IS THERE INEQUALITY INPRIVACY? 1.5 WHAT WILL BE COVERED INTHIS BOOK? 6 7 Chapter 2 ■ How Did Data Privacy Change Over Time? 9 2.1 HOW DID DATA PRIVACY BEGIN FOR THE UNITED STATES CENSUS BUREAU? 10 2.2 HOW DID TITLE 13 BECOME LAW? 13 2.3 WHAT ARE OTHER UNITED STATES LAWS THAT REGULATE FEDERAL STATISTICS? 19
vi ■ Contents CHAPTER 3 ■ How Do Data Privacy Methods Expand Access to Data? 3.1 WHAT ARE THE PAST AND CURRENT DIS CLOSURE CONTROL METHODS? 26 3.2 WHAT ARE OTHER WAYS TO ACCESS DATA? 3.3 WHY ARE NEW DISCLOSURE CONTROL METHODS STILL BEING DEVELOPED? 37 25 35 СИЛРТЕВ 4 ■ How Do Data Privacy Methods Avoid Invalidating Results? 4.1 HOW IS DATA PRIVACY DEFINED? 4.2 WHAT IS AN ACCEPTABLE PRIVACY-LOSS LIMIT? 47 4.3 HOW IS DATA QUALITY ENSURED? 4.4 WHY IS BALANCING DATA PRIVACY AND UTILITY STILL HARD? 54 4.5 WHAT IS THE DATA PRIVACY FRAMEWORK? 4.6 TO POST-PROCESS OR NOT TO POST PROCESS? 60 41 42 49 58 Chapters What Makes Datasets Difficult for Data Privacy? 65 5.1 5.2 5.3 5.4 WHY DOES CONTRACT TRACING COST PRIVACY? 69 WHY DOES MEMORY FADE OVER TIME BUT PRIVACY DOES NOT? 73 WHY ARE PERSONAL RELATIONSHIPS COM PLICATED? 77 HOW CAN RURAL AMERICA DISAPPEAR? 81
Contents ■ vii Chapter 6 ■ What Data Privacy Laws Exist? 87 WHAT IS THE GENERAL DATA PROTECTION REGULATION? 89 WHAT ARE THE CHALLENGES FOR THE GENERAL DATA PROTECTION REGULATION? 95 6.3 WHAT DATA PRIVACY LAWS EXIST IN THE UNITED STATES? 98 6.4 WHAT ARE THE CHALLENGES FOR FUTURE UNITED STATES DATA PRIVACY LAWS? 103 6.1 6.2 Chapter?«What Is the Future of Data Privacy? 107 7.1 WHY ARE THERE NOT ENOUGH USE CASES? 108 7.2 WHY USE A TIERED SYSTEM TO ACCESS DATA? 109 7.3 WHAT CAN BE DONE TO ADDRESS THE INEQUALITY IN DATA PRIVACY? 7.4 WHAT DATA NEEDED? PRIVACY 112 RESOURCES ARE 114 Glossary 119 Bibliography 123 Index 131
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| adam_txt |
Contents Preface ix Author xiii Chapter 1 • Why Is Data Privacy Important? 1 1.1 WHAT IS DATA PRIVACY? 2 1.2 WHY SHOULD ANYONE CARE? 3 1.3 WHY IS BALANCING DATA PRIVACY AND UTILITY HARD? 5 1.4 WHY IS THERE INEQUALITY INPRIVACY? 1.5 WHAT WILL BE COVERED INTHIS BOOK? 6 7 Chapter 2 ■ How Did Data Privacy Change Over Time? 9 2.1 HOW DID DATA PRIVACY BEGIN FOR THE UNITED STATES CENSUS BUREAU? 10 2.2 HOW DID TITLE 13 BECOME LAW? 13 2.3 WHAT ARE OTHER UNITED STATES LAWS THAT REGULATE FEDERAL STATISTICS? 19
vi ■ Contents CHAPTER 3 ■ How Do Data Privacy Methods Expand Access to Data? 3.1 WHAT ARE THE PAST AND CURRENT DIS CLOSURE CONTROL METHODS? 26 3.2 WHAT ARE OTHER WAYS TO ACCESS DATA? 3.3 WHY ARE NEW DISCLOSURE CONTROL METHODS STILL BEING DEVELOPED? 37 25 35 СИЛРТЕВ 4 ■ How Do Data Privacy Methods Avoid Invalidating Results? 4.1 HOW IS DATA PRIVACY DEFINED? 4.2 WHAT IS AN ACCEPTABLE PRIVACY-LOSS LIMIT? 47 4.3 HOW IS DATA QUALITY ENSURED? 4.4 WHY IS BALANCING DATA PRIVACY AND UTILITY STILL HARD? 54 4.5 WHAT IS THE DATA PRIVACY FRAMEWORK? 4.6 TO POST-PROCESS OR NOT TO POST PROCESS? 60 41 42 49 58 Chapters "What Makes Datasets Difficult for Data Privacy? 65 5.1 5.2 5.3 5.4 WHY DOES CONTRACT TRACING COST PRIVACY? 69 WHY DOES MEMORY FADE OVER TIME BUT PRIVACY DOES NOT? 73 WHY ARE PERSONAL RELATIONSHIPS COM PLICATED? 77 HOW CAN RURAL AMERICA DISAPPEAR? 81
Contents ■ vii Chapter 6 ■ What Data Privacy Laws Exist? 87 WHAT IS THE GENERAL DATA PROTECTION REGULATION? 89 WHAT ARE THE CHALLENGES FOR THE GENERAL DATA PROTECTION REGULATION? 95 6.3 WHAT DATA PRIVACY LAWS EXIST IN THE UNITED STATES? 98 6.4 WHAT ARE THE CHALLENGES FOR FUTURE UNITED STATES DATA PRIVACY LAWS? 103 6.1 6.2 Chapter?«What Is the Future of Data Privacy? 107 7.1 WHY ARE THERE NOT ENOUGH USE CASES? 108 7.2 WHY USE A TIERED SYSTEM TO ACCESS DATA? 109 7.3 WHAT CAN BE DONE TO ADDRESS THE INEQUALITY IN DATA PRIVACY? 7.4 WHAT DATA NEEDED? PRIVACY 112 RESOURCES ARE 114 Glossary 119 Bibliography 123 Index 131 |
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| spelling | Bowen, Claire McKay Verfasser (DE-588)1250847958 aut Protecting your privacy in a data-driven world Claire McKay Bowen First edition Boca Raton ; London ; New York CRC Press 2022 © 2022 xiii, 133 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier ASA-CRC Series on statistical reasoning in science and society Personenbezogene Daten (DE-588)4173908-5 gnd rswk-swf Datenschutz (DE-588)4011134-9 gnd rswk-swf Datenschutz (DE-588)4011134-9 s Personenbezogene Daten (DE-588)4173908-5 s DE-604 Erscheint auch als Online-Ausgabe 978-1-003-12204-3 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033051120&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bowen, Claire McKay Protecting your privacy in a data-driven world Personenbezogene Daten (DE-588)4173908-5 gnd Datenschutz (DE-588)4011134-9 gnd |
| subject_GND | (DE-588)4173908-5 (DE-588)4011134-9 |
| title | Protecting your privacy in a data-driven world |
| title_auth | Protecting your privacy in a data-driven world |
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| title_exact_search_txtP | Protecting your privacy in a data-driven world |
| title_full | Protecting your privacy in a data-driven world Claire McKay Bowen |
| title_fullStr | Protecting your privacy in a data-driven world Claire McKay Bowen |
| title_full_unstemmed | Protecting your privacy in a data-driven world Claire McKay Bowen |
| title_short | Protecting your privacy in a data-driven world |
| title_sort | protecting your privacy in a data driven world |
| topic | Personenbezogene Daten (DE-588)4173908-5 gnd Datenschutz (DE-588)4011134-9 gnd |
| topic_facet | Personenbezogene Daten Datenschutz |
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