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A fuzzy microaggregation algorithm using fuzzy c-means
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))ORCID-id: 0000-0002-0368-8037
2015 (engelsk)Inngår i: Artificial Intelligence Research and Development / [ed] Eva Armengol, Dionís Boixader, Francisco Grimaldo, IOS Press, 2015, s. 214-223Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Masking methods are used in data privacy to avoid the disclosure of sensitive information. Microaggregation is a perturbative masking method that has been proven effective. Data masked using microaggregation can be attacked when the intruder has information of the masking method and the parameters used. Publishing this information is usual under the transparency principle. Fuzzy microaggregation was introduced a few years ago to avoid this type of transparency attacks. In this paper we propose a new simpler method for microaggregation based on fuzzy c-means. We discuss the effectiveness of the approach. One of the advantages of this approach is its computational complexity.

sted, utgiver, år, opplag, sider
IOS Press, 2015. s. 214-223
Serie
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 277
Emneord [en]
Data masking, Data privacy, fuzzy clustering, fuzzy microaggregation
HSV kategori
Forskningsprogram
Teknik; Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
URN: urn:nbn:se:his:diva-11633DOI: 10.3233/978-1-61499-578-4-214Scopus ID: 2-s2.0-84948807933ISBN: 978-1-61499-577-7 (tryckt)ISBN: 978-1-61499-578-4 (tryckt)OAI: oai:DiVA.org:his-11633DiVA, id: diva2:865641
Konferanse
18th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2015), Valencia, Spain, 21 October 2015 through 23 October 2015
Tilgjengelig fra: 2015-10-28 Laget: 2015-10-28 Sist oppdatert: 2018-03-28bibliografisk kontrollert

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