Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/24881
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dc.contributor.authorCasas-Roma, Jordi-
dc.contributor.authorTorra, Vicenç-
dc.contributor.authorHerrera-Joancomartí, Jordi-
dc.date.accessioned2013-09-26T14:51:34Z-
dc.date.available2013-09-26T14:51:34Z-
dc.date.issued2012-11-01-
dc.identifier.citationCasas, J.;Herrera, J.;Torra, V.. (2012). "Proceedings in The 9th International Conference on Modeling Decisions for Artificial Intelligence. Lecture Notes in Computer Science.". A:Torra, V.;Narukawa, Y.;López, B.;Villaret, M..Comparing Random-based and k-Anonymity-Based Algorithms for Graph Anonymization.GIRONA.Springer-Verlag. Pág. 197 - 209. ISBN: 978-3-642-34619-4.-
dc.identifier.isbn978-3-642-34619-4-
dc.identifier.urihttp://hdl.handle.net/10609/24881-
dc.description.abstractRecently, several anonymization algorithms have appeared for privacy preservation on graphs. Some of them are based on random- ization techniques and on k-anonymity concepts. We can use both of them to obtain an anonymized graph with a given k-anonymity value. In this paper we compare algorithms based on both techniques in order to obtain an anonymized graph with a desired k-anonymity value. We want to analyze the complexity of these methods to generate anonymized graphs and the quality of the resulting graphs.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherSpringer-Verlag-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/es/-
dc.subjectSocial networksen
dc.subjectk-Anonymityen
dc.subjectPrivacyen
dc.subjectAnonimizationen
dc.titleComparing Random-based and k-Anonymity-Based Algorithms for Graph Anonymization-
dc.typeinfo:eu-repo/semantics/article-
dc.gir.idCO/0000002497-
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