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

  • Vicenç Torra

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Vicenç Torra
    Pages 1-21
  3. Vicenç Torra
    Pages 23-54
  4. Vicenç Torra
    Pages 89-110
  5. Vicenç Torra
    Pages 111-189
  6. Vicenç Torra
    Pages 191-238
  7. Vicenç Torra
    Pages 239-253
  8. Vicenç Torra
    Pages 255-258
  9. Vicenç Torra
    Pages 259-260
  10. Back Matter
    Pages 261-269

About this book

Introduction

​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.

Keywords

Big Data Data Mining Data Privacy Machine Learning Computational Intelligence

Authors and affiliations

  • Vicenç Torra
    • 1
  1. 1.School of InformaticsUniversity of SkövdeSkövdeSweden

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57358-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-57356-4
  • Online ISBN 978-3-319-57358-8
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • About this book
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