Fuzzy Microaggregation for Microdata Protection

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volumn 7, Issue 2, 2003, Pages 153-159

  Domingo Ferrer, Josep ^a   Ibrra, Viceng ^b  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b INTEL CORPORATION   (United States)

Author keywords

aggregation; clustering; data protection; fuzzy c means; masking methods; microaggregation; national statistical offices.

Indexed keywords

C (PROGRAMMING LANGUAGE); FUZZY CLUSTERING;

CLUSTERINGS; FUZZY-C MEANS; MASKING METHOD; MICROAGGREGATION; MICRODATA; MICRODATA PROTECTION; NATIONAL STATISTICAL OFFICE.; NATIONAL STATISTICAL OFFICES; NP PROBLEMS; PROTECTION METHODS;

HEURISTIC METHODS;

EID: 35048855836     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.2003.p0153     Document Type: Article

References (13)

1. Data Extraction System, (2002), U.S. Census Bureau, http://www.census.gov/DES/www/weIcome.htmI
2. Domingo-Ferrer, J., Iörra, V, (2002), Towards fuzzy c-means based microaggregation, in P Grzegorzewski, O. Hryniewicz, M. A. Gil (Eds.), Soft Methods in Probability and Statistics, Physicarlag, 289-294.
3. Domingo-Ferrer, J. , Torra, V, (2001), Disclosure Control Methods and Information Loss for Microdata, in P Doyle, J. I. Lane, J. J. M. Theeuwes, L M. Zayatz (Eds.), Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agen-cies, Elsevier, 91-110.
4. Domingo-Ferrer, J., Torra, V, (2001), A Quantitative Comparison of Disclosure Control Methods for Microdata, in P Doyle, J. I. Lane, J. J. M. Iheeuwes, L M. Zayatz (Eds.), Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies, Elsevier, 1 11-133.
5. Domingo-Ferrer, J., lörra, V, (2002), Aggregation techniques for statistical confidentiality, in T. Calvo, G. Mayor, R. Mesiar, Aggre-gation operators: New trends and applications, PhysicaAérIag, Springer, 260-271.
6. Doyle, P, Lane, J. L, Theeuwes, J. J. M., Zayatz, L M., (Eds.), (2001), Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies, Elsevier.
7. Felso, E, Theeuwes, J., Wagner, G. G., (2001 Disclosure Limitation Methods in Use: Results of a Survey, in P Doyle, J. I. Lane, J. J. M. Theeuwes, L M. Zayatz (Eds.), Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agen-cies, Elsevier, 17-42.
8. Klir, G., %an, B., (1995), Fuzzy Sets and Fuzzy Logic: 'Iheory and Applications, Prentice-Hall, U.K.
9. Miyamoto, S., Umayahara, K., (2000), Methods in Hard and Fuzzy Clustering, pp 85-129 in Z-Q. Liu, S. Miyamoto (Eds.), Soft Com-puting and Human-Centered Machines, Springer-Tokyo.
10. Sande, G., (2002), Exact and approximate methods for data directed microaggregation in one or more dimensions, Int. J. of Unc. Fuzzi-ness and Knowledge Based Systems, 10:5 459-476.
11. Sebé, E, Domingo-Ferrer, J., Mateo-Sanz, J. M., Torra, V, (2002), Post-Masking Optimization of the Tradeoff between Information and Disclosure Risk in Masked Microdata Sets, Lecture Notes in Computer Science, 2316 163-171.
12. Willenborg, L., de Waal, T, (2001), Elements of Statistical Disclo-sure Control, Lecture Notes in Statistics, Springer-\érlag.
13. Yancey, W. E., Winkler, W. E., creecy, R.H., (2002), Disclosure Risk Assessment in Perturbative Microdata Protection, Lecture Notes in Computer Science, 2316 135-152.