Domingo-Ferrer / Muralidhar Privacy in Statistical Databases

UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings
1. Auflage 2020
ISBN: 978-3-030-57521-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 370 Seiten, eBook

Reihe: Information Systems and Applications, incl. Internet/Web, and HCI

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.

Zielgruppe

Research

Autoren/Hrsg.

Domingo-Ferrer, Josep

Muralidhar, Krishnamurty

Inhaltsverzeichnis

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.