New PDF release: Advanced Research in Data Privacy

By Guillermo Navarro-Arribas, Vicenç Torra

ISBN-10: 3319098845

ISBN-13: 9783319098845

ISBN-10: 3319098853

ISBN-13: 9783319098852

This e-book 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 learn in privateness an safeguard, CSD2007-00004) has been the most very important examine initiatives funded by way of the Spanish executive within the fields of laptop protection and privateness. it truly is a part of the now extinct CONSOLIDER INGENIO 2010 application, a hugely aggressive software which aimed to increase wisdom and open new examine strains between most sensible Spanish examine teams. The undertaking all started in 2007 and may end this 2014. Composed via 6 study teams from 6 assorted associations, it has collected an immense variety of researchers in the course of its lifetime.

Among the paintings produced by means of the ARES venture, one particular paintings package deal has been with regards to privateness. This books gathers works produced through participants of the venture concerning information privateness and privateness bettering applied sciences. The provided works not just summarize very important examine carried within the undertaking but additionally function an outline of the cutting-edge in present study on information privateness and privateness improving technologies.

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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. In: PSD 2010. LNCS, vol. 6344, pp. 127–137 (2010) 18. : Semantic microaggregation for the anonymization of query logs using the open directory project. SORT-Statistics and Operations Research Transactions, pp. 41–58, Special issue (2011) 19. : Exploting social networks to provide privacy in personalized web search.

As we discussed in Sect. 2, there are more complex forms of background knowledge than the knowledge which can be modeled by negation statements. Consequently, several forms of background knowledge attacks can be launched by the adversaries. To deal with each of such attacks a particular solution is proposed in the literature that we will discuss in the next section. A Review of Attribute Disclosure Control 47 Skewness attack [11] This attack occurs when the overall distribution of values of a sensitive attribute is skewed.

Notes Comput. Sci. 6820, 235–246 (2011) 46. : Document sanitization: Measuring search engine information loss and risk of disclosure for the wikileaks cables, LNCS 7556 (2012) 47. : An Information Retrieval Approach to Document Sanitization. Chapter 9, Advanced Research on Data Privacy. Springer, Berlin (2014) 48. : On the protection of social networks user’s information. -Based Syst. 49, 134–144 (2013) 49. : Approximating degree sequences with regular graphic sequences, manuscript (2014) 50. : A Summary of k-Degree Anonymous Methods for Privacy-Preserving on Networks.

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Advanced Research in Data Privacy by Guillermo Navarro-Arribas, Vicenç Torra

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