Privacy in Statistical Databases

CASC Project Final Conference, PSD 2004, Barcelona, Spain, June 9-11, 2004. Proceedings

  • Josep Domingo-Ferrer
  • Vicenç Torra
Conference proceedings PSD 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3050)

Table of contents

  1. Front Matter
  2. Foundations of Tabular Protection

    1. Stephen E. Fienberg, Julie McIntyre
      Pages 14-29
    2. Aleksandra B. Slavkovic, Stephen E. Fienberg
      Pages 30-43
  3. Methods for Tabular Protection

    1. Juan-José Salazar-González, Markus Schoch
      Pages 44-57
    2. Juan-José Salazar-González, Philip Lowthian, Caroline Young, Giovanni Merola, Stephen Bond, David Brown
      Pages 58-72
    3. Lawrence H. Cox, James P. Kelly, Rahul Patil
      Pages 87-98
    4. Peter-Paul de Wolf, Anneke Loeve
      Pages 99-109
    5. Jean-Sébastien Provençal, Hélène Bérard, Jean-Marc Fillion, Jean-Louis Tambay
      Pages 110-120
  4. Masking for Microdata Protection

    1. Josep Domingo-Ferrer, Francesc Sebé, Jordi Castellà-Roca
      Pages 149-161
    2. Vicenç Torra, Sadaaki Miyamoto
      Pages 175-186
    3. Josep Maria Mateo-Sanz, Francesc Sebé, Josep Domingo-Ferrer
      Pages 201-215
  5. Risk in Microdata Protection

About these proceedings

Introduction

Privacy in statistical databases is about ?nding tradeo?s to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises, which are the source of the statistical data. Statistical agencies cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed; also, recent surveys of Web users show that a majority of these are unwilling to provide data to a Web site unless they know that privacy protection measures are in place. “Privacy in Statistical Databases2004” (PSD2004) was the ?nal conference of the CASC project (“Computational Aspects of Statistical Con?dentiality”, IST-2000-25069). PSD2004 is in the style of the following conferences: “Stat- tical Data Protection”, held in Lisbon in 1998 and with proceedings published by the O?ce of O?cial Publications of the EC, and also the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published by Springer-Verlag, as LNCS Vol. 2316. The Program Committee accepted 29 papers out of 44 submissions from 15 di?erentcountriesonfourcontinents.Eachsubmittedpaperreceivedatleasttwo reviews. These proceedings contain the revised versions of the accepted papers. These papers cover the foundations and methods of tabular data protection, masking methods for the protection of individual data (microdata), synthetic data generation, disclosure risk analysis, and software/case studies.

Keywords

anonymity bayesian model clustering data analysis data masking data mining data security database inference control privacy statistical confidentiality statistical databases statistical disclosure control tabular protection

Editors and affiliations

  • Josep Domingo-Ferrer
    • 1
  • Vicenç Torra
    • 2
  1. 1.Department of Computer Engineering and MathematicsUniversitat Rovira i Virgili, UNESCO Chair in Data PrivacyTarragona
  2. 2.IIIA, Artificial Intelligence Research Institute CSICSpanish National Research CouncilBellaterraSpain

Bibliographic information

  • DOI https://doi.org/10.1007/b97945
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22118-0
  • Online ISBN 978-3-540-25955-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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