Privacy in Statistical Databases -

Privacy in Statistical Databases

UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings
Buch | Softcover
XI, 370 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-57520-5 (ISBN)
80,24 inkl. MwSt

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy.
The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies.
The Chapter "Explaining recurrent machine learning models: integral privacy revisited" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Privacy models.- Microdata protection.- Protection of statistical tables.- Protection of interactive and mobility databases.- Record linkage and alternative methods.- Synthetic data.- Data quality.- Case studies.

Erscheinungsdatum
Reihe/Serie Information Systems and Applications, incl. Internet/Web, and HCI
Lecture Notes in Computer Science
Zusatzinfo XI, 370 p. 25 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 587 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Access Control • anonymization • Applications • Artificial Intelligence • Computer Networks • Computer Science • Computer Security • conference proceedings • Correlation Analysis • cryptography • Databases • Data handling • data integration • Data Mining • data privacy • Informatics • Internet • Mathematics • Network Protocols • Network Security • privacy • privacy preserving • Research • sensitive informations
ISBN-10 3-030-57520-9 / 3030575209
ISBN-13 978-3-030-57520-5 / 9783030575205
Zustand Neuware
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