Privacy Through Data Recolouring
Current anonymization techniques for statistical databases exhibit significant limitations, related to the utility-privacy trade-off, the introduction of artefacts, and the vulnerability to correlation. We propose an anonymization technique based on the w
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Luís Antunes · Maurizio Naldi · Giuseppe F. Italiano · Kai Rannenberg · Prokopios Drogkaris (Eds.)
Privacy Technologies and Policy 8th Annual Privacy Forum, APF 2020 Lisbon, Portugal, October 22–23, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7410
Luís Antunes Maurizio Naldi Giuseppe F. Italiano Kai Rannenberg Prokopios Drogkaris (Eds.) •
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Privacy Technologies and Policy 8th Annual Privacy Forum, APF 2020 Lisbon, Portugal, October 22–23, 2020 Proceedings
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Editors Luís Antunes University of Porto Porto, Portugal
Maurizio Naldi LUMSA University Rome, Italy
Giuseppe F. Italiano LUISS Rome, Italy
Kai Rannenberg Goethe University Frankfurt Frankfurt am Main, Germany
Prokopios Drogkaris ENISA Athens, Greece
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-55195-7 ISBN 978-3-030-55196-4 (eBook) https://doi.org/10.1007/978-3-030-55196-4 LNCS Sublibrary: SL4 – Security and Cryptology © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
With this volume we introduce the proceedings of the 2020 edition of the Annual Privacy Forum (APF), that took place in Lisbon, Portugal. APF 2020 was organized by the Euro
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