Privacy protection of textual attributes through a semantic-based masking method

Information Fusion

Volumn 13, Issue 4, 2012, Pages 304-314

  Martínez, Sergio ^a   Sánchez, David ^a   Valls, Aida ^a   Batet, Montserrat ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

Anonymity; Fusion of textual data; Ontologies; Privacy protection; Semantic similarity

Indexed keywords

ANONYMITY; CLASSICAL APPROACH; CLUSTERING PROBLEMS; COMPUTATIONALLY EFFICIENT; DATA MINING APPLICATIONS; DATA SETS; DOMAIN KNOWLEDGE; EXHAUSTIVE SEARCH; INFORMATION SOCIETY; INPUT DATAS; MICRODATA; NUMERICAL DATA; PRIVACY PROTECTION; RECORD LINKAGE; SEMANTIC SIMILARITY; SENSITIVE INFORMATIONS; TEXTUAL DATA; TEXTUAL INFORMATION; VALUE DISTRIBUTION; VALUE SETS;

ALGORITHMS; DATA MINING; KNOWLEDGE REPRESENTATION; ONTOLOGY; SEMANTICS;

NUMERICAL METHODS;

EID: 84861589008     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2011.03.004     Document Type: Article

References (35)

1. S. Giessing Survey on methods for tabular data protection in ARGUS J. Domingo-Ferrer, V. Torra, Privacy in Statistical Databases 2004 Springer Berlin/Heidelberg 519
2. J. Domingo-Ferrer A survey of inference control methods for privacy-preserving data mining C.C. Aggarwal, P.S. Yu, Privacy-Preserving Data Mining 2008 Springer US 53 80
3. L. Sweeney k-Anonymity: a model for protecting privacy Int. J. Uncertain. Fuzz. Knowl. Based Syst. 10 2002 557 570 (Pubitemid 35384857)
4. R.J. Bayardo, R. Agrawal, Data privacy through optimal k-anonymization, in: Proceedings of the 21st International Conference on Data Engineering, IEEE Computer Society, 2005, pp. 217-228. (Pubitemid 41731133)
5. P. Samarati, L. Sweeney, Protecting Privacy When Disclosing Information: k-Anonymity and Its Enforcement through Generalization and Suppression, Technical Report SRI-CSL-98-04, SRI Computer Science Laboratory, 1998.
6. J. Xu, W. Wang, J. Pei, X. Wang, B. Shi, and A.W.-C. Fu Utility-based anonymization for privacy preservation with less information loss SIGKDD Explor. Newsl. 8 2006 21 30
7. E.G. Little, and G.L. Rogova Designing ontologies for higher level fusion Inf. Fusion 10 2009 70 82
8. M.M. Kokar, C.J. Matheus, and K. Baclawski Ontology-based situation awareness Inf. Fusion 10 2009 83 98
9. P. Cimiano Ontology Learning and Population from Text: Algorithms, Evaluation and Applications 2006 Springer-Verlag New York, Inc.
10. D. Sánchez, D. Isern, M. Millan, Content annotation for the semantic web: an automatic web-based approach, Knowl. Inf. Syst. (2010) in press.
11. A. Valls, K. Gibert, D. Sánchez, and M. Batet Using ontologies for structuring organizational knowledge in home care assistance Int. J. Med. Inform. 79 2010 370 387
12. L. Ding, T. Finin, A. Joshi, R. Pan, R.S. Cost, Y. Peng, P. Reddivari, V. Doshi, J. Sachs, Swoogle: a search and metadata engine for the semantic web, in: Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management, ACM, Washington, DC, USA, 2004, pp. 652-659. (Pubitemid 40673510)
13. C. Fellbaum An Electronic Lexical Database (Language, Speech, and Communication) 1998 The MIT Press
14. K.A. Spackman, K.E. Campbell, R.A. Cote, SNOMED RT: a reference terminology for health care, in: Proc AMIA Annu. Fall Symp., 1997, pp. 640-644. (Pubitemid 127434558)
15. S.J. Nelson, D. Johnston, B.L. Humphreys, Relationships in medical subject headings, in: K.A. Publishers (Eds.) Relationships in the Organization of Knowledge, New York, 2001.
16. V.S. Iyengar, Transforming data to satisfy privacy constraints, in: KDD, ACM, 2002, pp. 279-288.
17. T. Li, and N. Li Towards optimal k-anonymization Knowl. Data Eng. 65 2008 22 39 (Pubitemid 351295932)
18. S. Martínez, A. Valls, and D. Sánchez Anonymizing categorical data with a recoding method based on semantic similarity E. Hüllermeier, R. Kruse, F. Hoffmann, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications 2010 Springer Berlin, Heidelberg 602 611
19. Y. He, J. Naughton, Anonymization of set-valued data via top-down, local generalization, in: VLDB '09: Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB Endowment, Lyon, France, 2009.
20. L. Guo, and X. Wu Privacy preserving categorical data analysis with unknown distortion parameters Trans. Data Privacy 2 2009 185 205
21. J.M. Gouweleeuw, P. Kooiman, L.C.R.J. Willenborg, P.P. DeWolf, Post randomization for statistical disclosure control: Theory and implementation, in: Voorburg: Statistics Netherlands, 1997.
22. K. LeFevre, D.J. DeWitt, R. Ramakrishnan, Mondrian multidimensional k-anonymity, in: Proceedings of the 22nd International Conference on Data Engineering, IEEE Computer Society, 2006, pp. 25. (Pubitemid 44539817)
23. M. Terrovitis, N. Mamoulis, and P. Kalnis Privacy-preserving anonymization of set-valued data Proc. VLDB Endow. 1 2008 115 125
24. J.J. Jiang, D.W. Conrath, Semantic Similarity based on corpus statistics and lexical taxonomy, in: International Conference Research on Computational Linguistics (ROCLING X), 1997, pp. 9008.
25. R. Rada, H. Mili, E. Bicknell, and M. Blettner Development and application of a metric on semantic nets IEEE Trans. Syst. Man Cybern. 19 1989 17 30
26. C. Leacock, M. Chodorow, Combining local context with WordNet similarity for word sense identification, in: WordNet: A Lexical Reference System and its Application, 1998.
27. Z. Wu, M. Palmer, Verbs semantics and lexical selection, in: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, Association for Computational Linguistics, Las Cruces, New Mexico, 1994, pp. 133-138.
28. D. Sánchez, M. Batet, A. Valls, and K. Gibert Ontology-driven web-based semantic similarity J. Intell. Inform. Syst. 35 2010 383 413
29. V. Torra, and J. Domingo-Ferrer Disclosure control methods and information loss for microdata P. Doyle, J.I. Lane, J.J.M. Theeuwes, L.V. Zayatz, Confidentiality Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies 2001 Elsevier 91 110
30. M.F. Porter An algorithm for suffix stripping Readings in Information Retrieval 1997 Morgan Kaufman Publishers Inc.
31. Z. He, X. Xu, and S. Deng k-ANMI: a mutual information based clustering algorithm for categorical data Inf. Fusion 9 2008 223 233 (Pubitemid 351312918)
32. M. Batet, A. Valls, K. Gibert, Improving classical clustering with ontologies, in: Proceedings of the 4th World Conference of the IASC, Japan, 2008, pp. 137-146.
33. J.H. Ward Hierarchical grouping to optimize an objective function J. Am. Stat. Assoc. 58 1963 236 244
34. R.L. De Mántaras A distance-based attribute selection measure for decision tree induction Mach. Learn. 6 1991 81 92
35. V. Torra, and J. Domingo-Ferrer Record Linkage methods for multidatabase data mining V. Torra, Information Fusion in Data Mining 2003 Springer