Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13463)
Included in the following conference series:
Conference proceedings info: PSD 2022.
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About this book
The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.
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Keywords
- access control
- computer security
- cryptography
- Data anonymization
- data handling
- data integration
- data mining
- data privacy
- Disclosure risk assessment
- integrated data
- network protocols
- network security
- privacy
- Privacy in official and corporate statistics
- Privacy models
- privacy preserving
- Privacy-preserving protocols
- Record linkage
- Synthetic data
Table of contents (25 papers)
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Privacy Models
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Disclosure Risk Assessment and Record Linkage
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Privacy-Preserving Protocols
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Unstructured and Mobility Data
Other volumes
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Privacy in Statistical Databases
Editors and Affiliations
Bibliographic Information
Book Title: Privacy in Statistical Databases
Book Subtitle: International Conference, PSD 2022, Paris, France, September 21–23, 2022, Proceedings
Editors: Josep Domingo-Ferrer, Maryline Laurent
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-13945-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-13944-4Published: 05 August 2022
eBook ISBN: 978-3-031-13945-1Published: 14 September 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 376
Number of Illustrations: 32 b/w illustrations, 66 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Database Management, Machine Learning, Computers and Society, Security, Computer Communication Networks