國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Linking sensitive datamethods and te...

Christen, Peter.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Linking sensitive databy Peter Christen, Thilina Ranbaduge, Rainer Schnell.
其他題名:	methods and techniques for practical privacy-preserving information sharing /
作者:	Christen, Peter.
其他作者:	Ranbaduge, Thilina.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xxii, 468 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Data protection.
電子資源:	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 /
LDR:03929nmm a2200325 a 4500 001 588786
003 DE-He213
005 20201017112707.0
006 m d
007 cr nn 008maaau
008 210525s2020 sz s 0 eng d
020 $a 9783030597061$q(electronic bk.)
020 $a 9783030597054$q(paper)
024 7 $a 10.1007/978-3-030-59706-1 $2 doi
035 $a 978-3-030-59706-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25 $b C47 2020
072 7 $a UYQE $2 bicssc
072 7 $a COM025000 $2 bisacsh
072 7 $a UYQE $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b C554 2020
100 1 $a Christen, Peter. $3 568970
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxii, 468 p. : $b ill. (some col.), digital ; $c 24 cm.
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.
650 0 $a Data protection. $3 202312
650 0 $a Linked data. $3 683691
650 0 $a Computer security. $3 184416
650 0 $a Privacy, Right of. $3 206659
650 1 4 $a Knowledge based Systems. $3 835019
650 2 4 $a Information Storage and Retrieval. $3 274190
650 2 4 $a Privacy. $3 268519
650 2 4 $a Principles and Models of Security. $3 837243
700 1 $a Ranbaduge, Thilina. $3 880341
700 1 $a Schnell, Rainer. $3 880342
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-59706-1
950 $a Computer Science (SpringerNature-11645)