Privacy in Statistical Databases
Springer International Publishing (Verlag)
978-3-030-57520-5 (ISBN)
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 | 22.08.2020 |
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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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