Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/47001
Title: | Semantic noise: Privacy-protection of nominal microdata through uncorrelated noise addition |
Author: | Rodríguez García, Mercedes Batet, Montserrat Sánchez Ruenes, David |
Citation: | Rodriguez-Garcia, Mercedes; Batet, Montserrat; Sanchez, David (2015). "Semantic noise: Privacy-protection of nominal microdata through uncorrelated noise addition". 27th International Conference on Tools with Artificial Intelligence (ICTAI), 9-11 November 2015, Vietri sul Mare, Salerno, Italia. IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 1106-1113. ISSN 1082-3409. DOI 10.1109/ICTAI.2015.157. |
Abstract: | Personal data are of great interest in statistical studies and to provide personalized services, but its release may impair the privacy of individuals. To protect the privacy, in this paper, we present the notion and practical enforcement of semantic noise, a semantically-grounded version of the numerical uncorrelated noise addition method, which is capable of masking textual data while properly preserving their semantics. Unlike other perturbative masking schemes, our method can work with both datasets containing information of several individuals and single data. Empirical results show that our proposal provides semantically-coherent outcomes preserving data utility better than non-semantic perturbative mechanisms. |
Keywords: | data privacy statistical disclosure control noise addition nominal microdata ontologies |
DOI: | 10.1109/ICTAI.2015.157 |
Document type: | info:eu-repo/semantics/conferenceObject |
Issue Date: | 9-Nov-2015 |
Publication license: | https://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Conferències |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
922.pdf | Article de conferència | 253,2 kB | Adobe PDF | View/Open |
Share:
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.