Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data
This paper tackles the topic of data anonymization from a vector quantization point of view. The admitted goal in this work is to provide means of performing data anonymization to avoid single individual or group re-identification from a data set, while m
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Francesco Buccafurri · Andreas Holzinger Peter Kieseberg · A Min Tjoa Edgar Weippl (Eds.)
Availability, Reliability, and Security in Information Systems IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016 and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016 Salzburg, Austria, August 31 – September 2, 2016, Proceedings
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/7409
Francesco Buccafurri Andreas Holzinger Peter Kieseberg A Min Tjoa Edgar Weippl (Eds.) •
•
Availability, Reliability, and Security in Information Systems IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016 and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016 Salzburg, Austria, August 31 – September 2, 2016 Proceedings
123
Editors Francesco Buccafurri University Mediterranea of Reggio Calabria Reggio Calabria Italy
A Min Tjoa Vienna University of Technology Vienna Austria
Andreas Holzinger Medical University Graz Graz Austria
Edgar Weippl SBA Research Vienna Austria
Peter Kieseberg SBA Research Vienna Austria
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-45506-8 ISBN 978-3-319-45507-5 (eBook) DOI 10.1007/978-3-319-45507-5 Library of Congress Control Number: 2016949120 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © IFIP International Federation for Information Processing 2016 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 regulatio
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