Privacy and Anonymity in Information Management Systems

New Techniques for New Practical Problems

  • Jordi Nin
  • Javier Herranz

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Overview

    1. Front Matter
      Pages 1-1
    2. Alberto Trombetta, Wei Jiang, Elisa Bertino
      Pages 7-27
  3. Theory of SDC

  4. Preserving Privacy in Distributed Applications

    1. Front Matter
      Pages 133-133
    2. Vishal Kapoor, Pascal Poncelet, Francois Trousset, Maguelonne Teisseire
      Pages 135-156
    3. David Galindo, Eric R. Verheul
      Pages 157-179
    4. Barbara Carminati, Elena Ferrari
      Pages 181-195
  5. Back Matter
    Pages 197-198

About this book


The development of information technologies in the last few years has been remarkable. Large amounts of data are collected and stored by both public institutions and private companies every day. There are clear threats to the privacy of citizens if no care is taken when collecting, storing and disseminating data. Ensuring privacy for individuals in a society when dealing with digital information, is a task which involves many agents, including politicians, legal authorities, managers, developers, and system administrators. Privacy and Anonymity in Information Management Systems deals with the more technical parts of this `privacy cycle', those issues that are mostly related to computer science, and discusses the process by which different privacy mechanisms are motivated, designed, analyzed, tested and finally implemented in companies or institutions. The book is written in such a way that several of the chapters are self-contained and accessible to students, covering topics such as the problem of Statistical Disclosure Control (SDC), i.e. how to modify datasets that contain statistical information before publicly releasing them, and doing so in such a way that the privacy of the confidential original information is preserved; and specific distributed applications involving privacy – how different agents have private inputs but want to cooperate to run some protocol in their own interest, without revealing unnecessary parts of their private inputs. Graduate students and researchers will find this book an excellent resource.


Anonymous data access control computational security networks privacy social networks statistical databases

Editors and affiliations

  • Jordi Nin
    • 1
  • Javier Herranz
    • 2
  1. 1.Dept. Arquitectura de ComputadorsUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Dept. Matematica Aplicada IVUniversitat Politècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2010
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84996-237-7
  • Online ISBN 978-1-84996-238-4
  • Series Print ISSN 1610-3947
  • Buy this book on publisher's site
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