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

  • Book
  • © 2017

Overview

Authors:
  1. Vicenç Torra

    1. School of Informatics, University of Skövde, Skövde, Sweden

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  • Includes recent research on data privacy
  • Provides background information as well as new developments
  • Discusses the challenge that big data presents for data privacy
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Big Data (SBD, volume 28)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Vicenç Torra
    Pages 1-21

  3. Machine and Statistical Learning

    • Vicenç Torra
    Pages 23-54

  4. On the Classification of Protection Procedures

    • Vicenç Torra
    Pages 55-87

  5. User’s Privacy

    • Vicenç Torra
    Pages 89-110

  6. Privacy Models and Disclosure Risk Measures

    • Vicenç Torra
    Pages 111-189

  7. Masking Methods

    • Vicenç Torra
    Pages 191-238

  8. Information Loss: Evaluation and Measures

    • Vicenç Torra
    Pages 239-253

  9. Selection of Masking Methods

    • Vicenç Torra
    Pages 255-258

  10. Conclusions

    • Vicenç Torra
    Pages 259-260

  11. Back Matter

    Pages 261-269
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Keywords

About this book

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.


Authors and Affiliations

  • School of Informatics, University of Skövde, Skövde, Sweden

    Vicenç Torra

Bibliographic Information

  • Book Title: Data Privacy: Foundations, New Developments and the Big Data Challenge

  • Authors: Vicenç Torra

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-57358-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-57356-4Published: 29 May 2017

  • Softcover ISBN: 978-3-319-86141-8Published: 02 August 2018

  • eBook ISBN: 978-3-319-57358-8Published: 17 May 2017

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XIV, 269

  • Number of Illustrations: 22 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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