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Linking Sensitive Data
Methods and Techniques for Practical Privacy-Preserving Information Sharing
Langbeschreibung
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.
Peter Christen is Professor at the Australian National University (ANU) Research School of Computer Science (RSCS). His research interests are in record linkage and data mining, with a focus on privacy and machine learning aspects of record linkage. He has published nearly 200 articles in these areas, including the monograph "Data Matching" published by Springer in 2012.
ISBN-13:
9783030597061
Veröffentl:
2020
Seiten:
468
Autor:
Peter Christen
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
160,49 €*
Lieferzeit: Sofort lieferbar
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