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Linking sensitive datamethods and te...

Christen, Peter.

Linking sensitive datamethods and techniques for practical privacy-preserving information sharing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Linking sensitive databy Peter Christen, Thilina Ranbaduge, Rainer Schnell.
Reminder of title:	methods and techniques for practical privacy-preserving information sharing /
Author:	Christen, Peter.
other author:	Ranbaduge, Thilina.
Published:	Cham :Springer International Publishing :2020.
Description:	xxii, 468 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data protection.
Online resource:	https://doi.org/10.1007/978-3-030-59706-1
ISBN:	9783030597061$q(electronic bk.)

Linking sensitive datamethods and techniques for practical privacy-preserving information sharing /
Christen, Peter.

Linking sensitive datamethods and techniques for practical privacy-preserving information sharing /[electronic resource] :by Peter Christen, Thilina Ranbaduge, Rainer Schnell. - Cham :Springer International Publishing :2020. - xxii, 468 p. :ill. (some col.), digital ;24 cm.

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.

This book provides modern technical answers to the legal requirements of pseudonymisation as recommended by privacy legislation. It covers topics such as modern regulatory frameworks for sharing and linking sensitive information, concepts and algorithms for privacy-preserving record linkage and their computational aspects, practical considerations such as dealing with dirty and missing data, as well as privacy, risk, and performance assessment measures. Existing techniques for privacy-preserving record linkage are evaluated empirically and real-world application examples that scale to population sizes are described. The book also includes pointers to freely available software tools, benchmark data sets, and tools to generate synthetic data that can be used to test and evaluate linkage techniques. 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 covers methods 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.

ISBN: 9783030597061$q(electronic bk.)

Standard No.: 10.1007/978-3-030-59706-1doiSubjects--Topical Terms:

202312
Data protection.

LC Class. No.: QA76.9.A25 / C47 2020

Dewey Class. No.: 005.8

Linking sensitive datamethods and techniques for practical privacy-preserving information sharing /
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245 1 0 $a Linking sensitive data $h [electronic resource] : $b methods and techniques for practical privacy-preserving information sharing / $c by Peter Christen, Thilina Ranbaduge, Rainer Schnell.
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505 0 $a 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.
520 $a This book provides modern technical answers to the legal requirements of pseudonymisation as recommended by privacy legislation. It covers topics such as modern regulatory frameworks for sharing and linking sensitive information, concepts and algorithms for privacy-preserving record linkage and their computational aspects, practical considerations such as dealing with dirty and missing data, as well as privacy, risk, and performance assessment measures. Existing techniques for privacy-preserving record linkage are evaluated empirically and real-world application examples that scale to population sizes are described. The book also includes pointers to freely available software tools, benchmark data sets, and tools to generate synthetic data that can be used to test and evaluate linkage techniques. 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 covers methods 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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