Advanced Research in Data Privacy

This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project. ARES (Advanced Research in Privacy an Security, CSD2007-00004) has been one of the most important

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Guillermo Navarro-Arribas Vicenç Torra Editors

Advanced Research in Data Privacy

Studies in Computational Intelligence Volume 567

Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]

About this Series The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

More information about this series at http://www.springer.com/series/7092

Guillermo Navarro-Arribas Vicenç Torra Editors

Advanced Research in Data Privacy

123

Editors Guillermo Navarro-Arribas Department of Information and Communications Engineering Universitat Autonoma de Barcelona Catalonia Spain

ISSN 1860-949X ISBN 978-3-319-09884-5 DOI 10.1007/978-3-319-09885-2

Vicenç Torra Institut d’Investigació en Intel·ligència Artificial Consejo Superior de Investigaciones Científicas Campus de la UAB Catalonia Spain

ISSN 1860-9503 (electronic) ISBN 978-3-319-09885-2 (eBook)

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