Privacy in Statistical Databases UNESCO Chair in Data Privacy, Inter
Privacy in statistical databases is a discipline whose purpose is to provide so- tionstothetensionbetweenthesocial,political,economicandcorporatedemand for accurate information, and the legal and ethical obligation to protect the p- vacy of the various pa
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbruecken, Germany
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Josep Domingo-Ferrer Emmanouil Magkos (Eds.)
Privacy in Statistical Databases UNESCO Chair in Data Privacy International Conference, PSD 2010 Corfu, Greece, September 22-24, 2010 Proceedings
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Volume Editors Josep Domingo-Ferrer Universitat Rovira i Virgili Department of Computer Engineering and Mathematics UNESCO Chair in Data Privacy Av. Països Catalans 26, 43007 Tarragona, Catalonia, Spain E-mail: [email protected] Emmanouil Magkos Ionian University, Department of Informatics Plateia Tsirigoti 7, 49100 Corfu, Greece E-mail: [email protected]
Library of Congress Control Number: 2010934215 CR Subject Classification (1998): H.2, D.4.6, K.6.5, C.2, E.3, E.1 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-642-15837-4 Springer Berlin Heidelberg New York 978-3-642-15837-7 Springer Berlin Heidelberg New York
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Preface
Privacy in statistical databases is a discipline whose purpose is to provide solutions to the tension between the social, political, economic and corporate demand for accurate information, and the legal and ethical obligation to protect the privacy of the various parties involved. Those parties are the respondents (the individuals and enterprises to which the database records refer), the data owners (those organizations spending money in data collection) and the users (the ones querying the database or the search engine, wh
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