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Advanced Research in Data Privacy (Studies in Computational

This e-book offers an summary of the examine paintings on facts privateness and privateness bettering applied sciences carried by way of the contributors of the ARES venture. ARES (Advanced examine in privateness an defense, CSD2007-00004) has been the most very important examine tasks funded through the Spanish executive within the fields of laptop defense and privateness. it's a part of the now extinct CONSOLIDER INGENIO 2010 software, a hugely aggressive software which aimed to boost wisdom and open new examine strains between best Spanish learn teams. The undertaking begun in 2007 and should end this 2014. Composed via 6 study teams from 6 assorted associations, it has accumulated 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 regarding privateness. This books gathers works produced by way of participants of the undertaking with regards to facts privateness and privateness bettering applied sciences. The awarded works not just summarize vital learn carried within the venture but additionally function an outline of the cutting-edge in present examine on information privateness and privateness improving applied sciences.

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A quantitative comparison of disclosure control methods for microdata. , Zayatz, L. ) Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, pp. 111–134. North-Holland (2001) 10. : Special uniqueness. random uniques and sticky populations: some counterintuitive effects of geographical detail on disclosure risk. Res. Official Stat. 1(2), 53–67 (1998) 11. : Re-identification methods for masked microdata, PSD 2004. Lect. Notes Comput. Sci. 3050, 216–230 (2004) 12.

G. the number of virtual identities) and at the same time some personalization (each identity has personalization on the queries submitted). The agent, called Dissociating Privacy Agent (DisPA for short) was presented in [71] (see also Chap. 21 [72] in this book). 4 Knowledge-Intensive Data Privacy In [73] we plead for the development of knowledge-intensive tools for data privacy. We consider that masking methods need to take into consideration the semantics of the data being protected, the schema of the databases and the relationships between the variables.

Sci. 179(11), 1663–1677 (2009) 16. : Trajectory anonymization from a time series perspective. In: Proceedings IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 401–408 (2011) 17. : User k-anonymity for privacy preserving data mining of query logs. Inf. Process. Manage. 48(3), 476–487 (2012) 18. : Tree-based Microaggregation for the Anonymization of Search Logs. In: 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (Workshop on Soft approaches to information access on the Web), vol.

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