Methods and Techniques for Practical Privacy-Preserving Information Sharing
E-Book, Englisch, 468 Seiten, eBook
ISBN: 978-3-030-59706-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book consists of fourteen chapters grouped into four parts, and two appendices. The first part introduces the reader to the topic of linking sensitive data, the second part coversmethods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases. The appendices provide pointers and describe freely available, open-source software systems that allow the linkage of sensitive data, and provide further details about the evaluations presented. A companion Web site at https://dmm.anu.edu.au/lsdbook2020 provides additional material and Python programs used in the book.
This book is mainly written for applied scientists, researchers, and advanced practitioners in governments, industry, and universities who are concerned with developing, implementing, and deploying systems and tools to share sensitive information in administrative, commercial, or medical databases.
The Book describes how linkage methods work and how to evaluate their performance. It covers all the major concepts and methods and also discusses practical matters such as computational efficiency, which are critical if the methods are to be used in practice - and it does all this in a highly accessible way!David J. Hand, Imperial College, London
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Research
Autoren/Hrsg.
Weitere Infos & Material
Part I: Introduction.- 1. Introduction.- 2. Regulatory Frameworks.- 3. Linking Sensitive Data Background.- Part II: Methods and Techniques.- 4. Private Information Sharing Protocols.- 5. Assessing Privacy and Risks.- 6. Building Blocks for Linking Sensitive Data.- 7 Encoding and Comparing Sensitive Values.- 8. Bloom Filter based Encoding Methods.- 9. Attacking and Hardening Bloom Filter Encoding.- 10. Computational Efficiency.- Part III: Practical Aspects, Evaluation, and Applications.- 11. Practical Considerations.- 12. Empirical Evaluation.- 13. Real-world Applications.- Part IV: Outlook.- 14. Future Research Challenges and Directions.