This publication offers an outline of the study paintings on information privateness and privateness bettering applied sciences carried through the individuals of the ARES venture. ARES (Advanced learn in privateness an safeguard, CSD2007-00004) has been the most very important examine initiatives funded via the Spanish executive within the fields of laptop safety and privateness. it truly is a part of the now extinct CONSOLIDER INGENIO 2010 application, a hugely aggressive application which aimed to enhance wisdom and open new study traces between most sensible Spanish study teams. The undertaking begun in 2007 and may end this 2014. Composed through 6 examine teams from 6 diverse associations, it has accrued a massive variety of researchers in the course of its lifetime.
Among the paintings produced via the ARES venture, one particular paintings package deal has been on the topic of privateness. This books gathers works produced via participants of the undertaking concerning information privateness and privateness bettering applied sciences. The provided works not just summarize very important examine carried within the undertaking but in addition function an summary of the cutting-edge in present examine on facts privateness and privateness improving applied sciences.
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Extra info for Advanced Research in Data Privacy (Studies in Computational Intelligence, Volume 567)
Domingo-Ferrer References 1. : Never walk alone: uncertainty for anonymity in moving objects databases. In: 24th International Conference on Data Engineering, pp. 376–385 (2008) 2. : Anonymization of moving objects databases by clustering and perturbation. Inf. Syst. 35(8), 884–910 (2010) 3. : Configuraciones combinatóricas y recuperación privada de información por pares. In: Nuevos Avances en Criptografía y Codificación de la Información (2009) 4. : The semigroup of combinatorial configurations.
LNCS, vol. 4052, pp. 1–12. Springer, New York (2006) 14. : Privacy preserving Publication of Trajectories using microaggregation. In: 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS (2010) 15. : h(k)-private information retrieval from privacy-uncooperative queryable databases. Online Inf. Rev. 33(4), 720–744 (2009) 16. : Microaggregation- and permutation-based anonymization of movement data. Inf. Sci. 208, 55–80 (2012) 17. : Semantic microaggregation for the anonymization of query logs.
The following partial supports are also gratefully acknowledged: the Spanish Government under projects CONSOLIDER INGENIO 2010 CSD2007-00004 “ARES” and TIN2011-27076-C03-01 “CO-PRIVACY”, and the European Commission under FP7 projects “DwB” and “Inter-Trust”. The second author is with the UNESCO Chair in Data Privacy, but the views expressed in this chapter neither necessarily reflect the position of UNESCO nor commit that organization. A. Manjón and J. Domingo-Ferrer References 1. : Never walk alone: uncertainty for anonymity in moving objects databases.