This booklet presents an summary of the study paintings on info privateness and privateness bettering applied sciences carried through the members of the ARES undertaking. ARES (Advanced examine in privateness an safeguard, CSD2007-00004) has been the most vital learn initiatives funded through the Spanish executive within the fields of computing device safeguard and privateness. it's a part of the now extinct CONSOLIDER INGENIO 2010 application, a hugely aggressive application which aimed to strengthen wisdom and open new study strains between best Spanish learn teams. The undertaking began in 2007 and may end this 2014. Composed via 6 study teams from 6 assorted associations, it has accumulated an incredible variety of researchers in the course of its lifetime.
Among the paintings produced through the ARES undertaking, one particular paintings package deal has been concerning privateness. This books gathers works produced through participants of the venture with regards to info privateness and privateness improving applied sciences. The offered works not just summarize very important study carried within the venture but additionally function an summary of the cutting-edge in present learn on information privateness and privateness improving applied sciences.
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Additional resources for Advanced Research in Data Privacy (Studies in Computational Intelligence, Volume 567)
In: Proceedings of CCIA (2013) 21. : An algorithm for k-degree anonymity on large networks. In: Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2013) 22. Nettleton, D. 0458 (2014) 23. : Reidentification and k-anonymity: a model for disclosure risk in graphs. Soft Comput. 16(10), 1657–1670 (2012) 24. : Post-masking optimization of the tradeoff between information loss and disclosure risk in masked microdata sets. Lect. Notes Comput. Sci. 2316, 187–196 (2002) 25.
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. Lecture Notes in Computer Science, vol. 8247, pp. 362–368 (2014) 36. : Generation of synthetic data by means of fuzzy c-regression. In: Proceedings of FUZZ-IEEE, pp. 1145–1150 (2009) 37. : Rank swapping for partial orders and continuous variables.
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. J. Syst. Soft. 84(10), 1734–1745 (2011) 20. : Discrimination prevention in data mining for intrusion and crime detection.
Advanced Research in Data Privacy (Studies in Computational Intelligence, Volume 567)