Torra Data Privacy: Foundations, New Developments and the Big Data Challenge

1. Auflage 2017
ISBN: 978-3-319-57358-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 28, 269 Seiten, eBook

Reihe: Studies in Big Data

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.

Zielgruppe

Research

Autoren/Hrsg.

Torra, Vicenç

Inhaltsverzeichnis

Introduction.- Machine and Statistical Learning.- On the Classi?cation of Protection Procedures.- User’s privacy.- Privacy Models and Disclosure Risk Measures.- Masking methods.- Information loss: evaluation and measures.- Selection of masking methods.- Conclusions.