Advertisement

Privacy in Statistical Databases

UNESCO Chair in Data Privacy, International Conference, PSD 2016, Dubrovnik, Croatia, September 14–16, 2016, Proceedings

  • Josep Domingo-Ferrer
  • Mirjana Pejić-Bach

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9867)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9867)

Table of contents

  1. Front Matter
    Pages I-X
  2. Tabular Data Protection

  3. Microdata and Big Data Masking

    1. Front Matter
      Pages 55-55
    2. Josep Domingo-Ferrer, Jordi Soria-Comas
      Pages 57-68
    3. Mercedes Rodriguez-Garcia, David Sánchez, Montserrat Batet
      Pages 94-106
    4. Edwin de Jonge, Peter-Paul de Wolf
      Pages 107-117
  4. Protection Using Privacy Models

    1. Front Matter
      Pages 119-119
    2. Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
      Pages 121-134
    3. Sebastian Stammler, Stefan Katzenbeisser, Kay Hamacher
      Pages 135-146
  5. Synthetic Data

    1. Front Matter
      Pages 147-147
    2. Vanessa Ayala-Rivera, A. Omar Portillo-Dominguez, Liam Murphy, Christina Thorpe
      Pages 163-177
  6. Remote and Cloud Access

    1. Front Matter
      Pages 179-179
    2. Joshua Snoke, Timothy Brick, Aleksandra Slavković
      Pages 190-209
    3. Yue Ma, Yan-Xia Lin, James Chipperfield, John Newman, Victoria Leaver
      Pages 210-221
  7. Disclosure Risk Assessment

  8. Co-utile Anonymization

    1. Front Matter
      Pages 253-253
    2. Amna Qureshi, Helena Rifà-Pous, David Megías
      Pages 255-271
  9. Back Matter
    Pages 273-273

About these proceedings

Introduction

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2016, held in Dubrovnik, Croatia in September 2016 under the sponsorship of the UNESCO chair in Data Privacy.
The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The scope of the conference is on following topics: tabular data protection; microdata and big data masking; protection using privacy models; synthetic data; remote and cloud access; disclosure risk assessment; co-utile anonymization.

Keywords

algorithms anonymity data anonymization data mining database management information theory privacy privacy preservation security semantics statistical databases statistical disclosure control user privacy

Editors and affiliations

  • Josep Domingo-Ferrer
    • 1
  • Mirjana Pejić-Bach
    • 2
  1. 1.Universitat Rovira i VirgiliTarragonaSpain
  2. 2.University of ZagrebZagrebCroatia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45381-1
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45380-4
  • Online ISBN 978-3-319-45381-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site