Data Privacy Management, Cryptocurrencies and Blockchain Technology
This book constitutes the refereed conference proceedings of the 14th International Workshop on Data Privacy Management, DPM 2019, and the Third International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2019, held in conjunction with the 2
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Cristina Pérez-Solà · Guillermo Navarro-Arribas · Alex Biryukov · Joaquin Garcia-Alfaro (Eds.)
Data Privacy Management, Cryptocurrencies and Blockchain Technology ESORICS 2019 International Workshops, DPM 2019 and CBT 2019, Luxembourg, September 26–27, 2019 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
Cristina Pérez-Solà Guillermo Navarro-Arribas Alex Biryukov Joaquin Garcia-Alfaro (Eds.) •
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Data Privacy Management, Cryptocurrencies and Blockchain Technology ESORICS 2019 International Workshops, DPM 2019 and CBT 2019, Luxembourg, September 26–27, 2019 Proceedings
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Editors Cristina Pérez-Solà Universitat Oberta de Catalunya Barcelona, Spain
Guillermo Navarro-Arribas Universitat Autonoma de Barcelona Bellaterra, Spain
Alex Biryukov University of Luxembourg Esch-sur-Alzette, Luxembourg
Joaquin Garcia-Alfaro Institut Mines-Télécom Evry, France
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-31499-6 ISBN 978-3-030-31500-9 (eBook) https://doi.org/10.1007/978-3-030-31500-9 LNCS Sublibrary: SL4 – Security and Cryptology © Springer Nature Switzerland AG 2019 Chapters “Integral Privacy Compliant Statistics Computation” and “Graph Perturbation as Noise Graph Addition: A New Perspective for Graph Anonymization” are licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). For further details see license information in the chapters. 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
