This publication offers an summary of the study paintings on information privateness and privateness bettering applied sciences carried via the members of the ARES venture. ARES (Advanced study in privateness an protection, CSD2007-00004) has been the most vital study initiatives funded through the Spanish executive within the fields of machine safeguard and privateness. it really is a part of the now extinct CONSOLIDER INGENIO 2010 application, a hugely aggressive application which aimed to improve wisdom and open new study strains between most sensible Spanish examine teams. The undertaking began in 2007 and may end this 2014. Composed via 6 examine teams from 6 varied associations, it has amassed a massive variety of researchers in the course of its lifetime.
Among the paintings produced through the ARES venture, one particular paintings package deal has been with regards to privateness. This books gathers works produced through participants of the venture with regards to facts privateness and privateness improving applied sciences. The provided works not just summarize vital learn carried within the undertaking but additionally function an summary of the cutting-edge in present examine on info privateness and privateness bettering applied sciences.
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Extra info for Advanced Research in Data Privacy (Studies in Computational Intelligence, Volume 567)
6549, 1–14 (2011) 31. : A new framework to automate constrained microaggregation. In: Proceedings PAVLAD Workshop in CIKM, pp. 1–8 (2009) 32. : Protection of micro-data subjecto to edit constraints against statistical disclousure. J. Official Stat. 24(2), 229–253 (2008) 33. : MultiRelational k-Anonymity. Proc. ICDE 2007, 1417– 1421 (2007) 34. : MultiRelational k-anonymity. IEEE Trans. Knowl. Data Eng. 21, 1104–1117 (2009) 35. : Dynamic anonymous index for confidential data. In: Proceedings DPM 2013.
This attack is illustrated by Machanavajjhala et al. [4, 5] through the following example: Example (homogeneity attack): Alice and Bob are neighbors and one day Alice sees that Bob is taken to the hospital by ambulance. While Bob is in the hospital, Alice discovers Table 1b, an anonymized version version of the data set in Table 1, containing current inpatient records published by the hospital. Therefore, she knows that one of the records in the Table belongs to Bob and she tries to figure out what Bob’s disease is.
Services and Technologies (2009) 28. : Multi-party private web search with untrusted partners. In: 7th International Conference on Security and Privacy in Communication Networks (2011) 29. : Improving query delay in private web search. In: International Workshop on Securing Information in Distributed Environments and Ubiquitous Systems (2011) 30. : Sensitivity-independent differential privacy via prior knowledge refinement. Int. J. -Based Syst. 20(6), 855–876 (2012) 31. : Optimal data-independent noise for differential privacy.
Advanced Research in Data Privacy (Studies in Computational Intelligence, Volume 567)