Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/24881
Title: | Comparing Random-based and k-Anonymity-Based Algorithms for Graph Anonymization |
Author: | Casas-Roma, Jordi Torra, Vicenç Herrera-Joancomartí, Jordi |
Citation: | Casas, 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. |
Abstract: | Recently, 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. |
Keywords: | Social networks k-Anonymity Privacy Anonimization |
Document type: | info:eu-repo/semantics/article |
Issue Date: | 1-Nov-2012 |
Publication license: | https://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Articles cientÍfics Treballs, papers de recerca |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Casas-Roma, Herrera-Joancomartí, Torra - 2012 - Comparing Random-based and k-Anonymity-based Algorithms for Graph.pdf | Article MDAI 2012 | 254,82 kB | Adobe PDF | View/Open |
Share:
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.