
Data Privacy: Foundations, New Developments and the Big Data Challenge
Vicenç Torra(Author)
Springer (Publisher)
Published on 29. May 2017
Book
Hardback
XIV, 269 pages
978-3-319-57356-4 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
22 s/w Abbildungen
XIV, 269 p. 22 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 21 mm
Weight
594 gr
ISBN-13
978-3-319-57356-4 (9783319573564)
DOI
10.1007/978-3-319-57358-8
Schweitzer Classification
Other editions
Additional editions

Book
08/2018
Springer
€181.89
Shipment within 10-15 days

E-Book
05/2017
Springer
€171.19
Available for download
Person
Vicenç Torra is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden. He is the Wallenberg Chair on AI at the university, as well as a fellow of IEEE and EurAI.
Content
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.