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Privacy in Statistical Databases

UNESCO Chair in Data Privacy, International Conference, PSD 2018, Valencia, Spain, September 26–28, 2018, Proceedings

  • Josep Domingo-Ferrer
  • Francisco Montes
Conference proceedings PSD 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11126)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11126)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Daniel Baena, Jordi Castro, José A. González
      Pages 3-12
    3. Tobias Enderle, Sarah Giessing, Reinhard Tent
      Pages 28-42
  3. Synthetic Data

    1. Front Matter
      Pages 57-57
    2. Nicolas Ruiz, Krishnamurty Muralidhar, Josep Domingo-Ferrer
      Pages 59-74
    3. Jingchen Hu, Nobuaki Hoshino
      Pages 75-91
    4. Michelle Pistner, Aleksandra Slavković, Lars Vilhuber
      Pages 92-108
    5. Jennifer Taub, Mark Elliot, Maria Pampaka, Duncan Smith
      Pages 122-137
  4. Microdata and Big Data Masking

    1. Front Matter
      Pages 173-173
    2. Josep Domingo-Ferrer, Rafael Mulero-Vellido, Jordi Soria-Comas
      Pages 175-186
    3. Anna Oganian, Ionut Iacob, Goran Lesaja
      Pages 187-199
    4. Shinsuke Ito, Toru Yoshitake, Ryo Kikuchi, Fumika Akutsu
      Pages 200-214
    5. Bradley Wakefield, Yan-Xia Lin
      Pages 263-278
    6. Yue Ma, Yan-Xia Lin, Pavel N. Krivitsky, Bradley Wakefield
      Pages 279-293
  5. Record Linkage

    1. Front Matter
      Pages 295-295
    2. Rebecca C. Steorts, Andrea Tancredi, Brunero Liseo
      Pages 297-313
    3. Rebecca C. Steorts, Anshumali Shrivastava
      Pages 314-327
  6. Spatial and Mobility Data

    1. Front Matter
      Pages 329-329
    2. Julián Salas, David Megías, Vicenç Torra
      Pages 331-346 Open Access
    3. Peter-Paul de Wolf, Edwin de Jonge
      Pages 347-359
  7. Back Matter
    Pages 361-361

About these proceedings

Introduction

Chapter "SwapMob: Swapping Trajectories for Mobility Anonymization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Keywords

anonymization artificial intelligence big data data mining data privacy data security microdata privacy preserving probability synthetic data tabular data

Editors and affiliations

  1. 1.Rovira i Virgili UniversityTarragonaSpain
  2. 2.University of ValenciaBurjassotSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-99771-1
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-99770-4
  • Online ISBN 978-3-319-99771-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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