A Simple Method for Limiting Disclosure in Continuous Microdata Based on Principal Component Analysis

Banu, R. and N. Nagaveni. 2009. “Preservation of Data Privacy Using PCA Based Transformation.” In International Conference on Advances in Recent Technologies in Communication and Computing, 439-443. Doi: http://dx.doi.org/10.1109/ARTCom.2009.159.10.1109/ARTCom.2009.159Search in Google Scholar

Brand, R. 2002. “Microdata Protection through Noise Addition.” In Inference Control in Statistical Databases, edited by J. Domingo-Ferrer. Lecture Notes in Computer Science, 2316: 97-116. Berlin Heidelberg: Springer. Doi: http://dx.doi.org/10.1007/3-540-47804-38.10.1007/3-540-47804-3_8Search in Google Scholar

Brand, R., J. Domingo-Ferrer, and J. Mateo-Sanz. 2002. Reference Data Sets to Test and Compare SDC Methods for Protection of Numerical Microdata. Deliverable of European Project IST-2000-25069 CASC. Available at: http://neon.vb.cbs.nl/casc (accessed August 2016).Search in Google Scholar

Burridge, J. 2003. “Information Preserving Statistical Obfuscation.” Statistics and Computing 13: 321-327. Doi: http://dx.doi.org/10.1023/A:1025658621216.10.1023/A:1025658621216Search in Google Scholar

Domingo-Ferrer, J. and U. Gonza´lez-Nicola´s. 2010. “Hybrid Microdata Using Microaggregation.” Information Sciences 180: 2834-2844. Doi: http://dx.doi.org/10.1016/j.ins.2010.04.005.10.1016/j.ins.2010.04.005Search in Google Scholar

Domingo-Ferrer, J. and V. Torra. 2001. “A Quantitative Comparison of Disclosure Control Methods for Microdata.” In Confidentiality, disclosure, and data access: Theory and practical applications for statistical agencies, edited by P. Doyle, J. Lane, J. Theeuwes, and L. Zayatz. 111-133. Elsevier. Available at: https://www.iiia.csic.es/es/publications/quantitativecomparison-disclosure-control-methods-microdata (accessed August 2016).Search in Google Scholar

Domingo-Ferrer, J. and V. Torra. 2004. “Disclosure Risk Assessment in Statistical Data Protection.” Journal of Computational and Applied Mathematics 164: 285-293. Doi: http://dx.doi.org/10.1016/S0377-0427(03)00643-5.10.1016/S0377-0427(03)00643-5Search in Google Scholar

Drechsler, J. 2011. Synthetic datasets for statistical disclosure control: theory and implementation, volume 201. Springer Science & Business Media.10.1007/978-1-4614-0326-5Search in Google Scholar

Duncan, G. and R. Pearson. 1991. “Enhancing Access to Microdata While Protecting Confidentiality: Prospects for the Future.” Statistical Science 6: 219-239.10.1214/ss/1177011681Search in Google Scholar

Efron, B. and R. Tibshirani. 1993. An introduction to the Bootstrap. New York: Chapman and Hall.10.1007/978-1-4899-4541-9Search in Google Scholar

Fienberg, S. 1994. A Radical Proposal for the Provision of Micro-Data Samples and the Preservation of Confidentiality. Technical Report 611, Department of Statistics, Carnegie Mellon University.Search in Google Scholar

Hundepool, A., J. Domingo-Ferrer, L. Franconi, S. Giessing, E. Nordholt, K. Spicer, and P. de Wolf. 2012. Statistical Disclosure Control. Chichester, UK: John Wiley & Sons.10.1002/9781118348239Search in Google Scholar

Jiménez, J., G. Navarro-Arribas, and V. Torra. 2014. “JPEG-Based Microdata Protection.” In Privacy in Statistical Databases, edited by J. Domingo-Ferrer. Lecture Notes in Computer Science, 8744: 117-129. Springer International Publishing. Doi: http://dx. doi.org/10.1007/978-3-319-11257-210.10.1007/978-3-319-11257-2_10Search in Google Scholar

Jolliffe, I. 2002. Principal Component Analysis. New York, USA: Springer.Search in Google Scholar

Kim, H., A. Karr, and J. Reiter. 2015. “Statistical Disclosure Limitation in the Presence of Edit Rules.” Journal of Official Statistics 31: 121-138. Doi: http://dx.doi.org/10.1515/jos-2015-0006.10.1515/jos-2015-0006Search in Google Scholar

Liew, C., U. Choi, and C. Liew. 1985. “A Data Distortion by Probability Distribution.” ACM Transactions Database Systems 10: 395-411.10.1145/3979.4017Search in Google Scholar

Mateo-Sanz, J., J. Domingo-Ferrer, and F. Sebe´. 2005. “Probabilistic Information Loss Measures in Confidentiality Protection of Continuous Microdata.” Data Mining and Knowledge Discovery 11: 181-193. Doi: http://dx.doi.org/10.1007/s10618-005-0011-9.10.1007/s10618-005-0011-9Search in Google Scholar

Moore, R. 1996. Controlled Data Swapping Techniques for Masking Public use Microdata Sets. Technical report, U.S. Bureau of the Census, Washington, D.C. Available at: https://www.census.gov/srd/papers/pdf/rr96-4.pdf (accessed August 2016).Search in Google Scholar

Muralidhar, K. and R. Sarathy. 2008. “Generating Sufficiency-Based Non-Synthetic Perturbed Data.” Transactions on Data Privacy 1: 17-33. Available: at http://www.tdp.cat/issues/tdp.a005a08.pdf (accessed August 2016).Search in Google Scholar

Muralidhar, K., R. Sarathy, and J. Domingo-Ferrer. 2014. “Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata.” In Privacy in Statistical Databases, edited by J. Domingo-Ferrer. Lecture Notes in Computer Science, 8744: 105-116. Springer International Publishing. Doi: http://dx.doi.org/10.1007/978-3-319-11257-29.10.1007/978-3-319-11257-2_9Search in Google Scholar

Oganian, A. and A. Karr. 2006. “Combinations of SDC Methods for Microdata Protection.” In Privacy in Statistical Databases, edited by J. Domingo-Ferrer and L. Franconi. Lecture Notes in Computer Science, 4302: 102-113. Berlin Heidelberg: Springer. Doi: http://dx.doi.org/10.1007/1193024210.10.1007/11930242_10Search in Google Scholar

Pagliuca, D. and G. Seri. 1999. Some Results of Individual Ranking Method on the System of Enterprise Accounts Annual Survey. Esprit SDC Project, Deliverable MI-3/D2.Search in Google Scholar

R Core Team. 2014. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Website: http://www.R-project.org/.Search in Google Scholar

Raghunathan, T.E., J. Reiter, and D. Rubin. 2003. “Multiple Imputation for Statistical Disclosure Limitation.” Journal of Official Statistics 19: 1-16.Search in Google Scholar

Rubin, D. 1993. “Statistical Disclosure Limitation.” Journal of Official Statistics 9: 461-468.Search in Google Scholar

Sarathy, R. and M. Krishnamurty. 2002. “The Security of Confidential Numerical Data in Databases.” Information Systems Research 13: 389-403. Doi: http://dx.doi.org/10.1287/isre.13.4.389.74.10.1287/isre.13.4.389.74Search in Google Scholar

Templ, M. 2008. “Statistical Disclosure Control for Microdata Using the Rpackage sdcMicro.” Transactions on Data Privacy 1: 67-85. Doi: http://dx.doi.org/10.18637/jss.v067.i04. 10.18637/jss.v067.i04Search in Google Scholar

Woo, M., J. Reiter, A. Oganian, and A. Karr. 2009. “Global Measures of Data Utility for Microdata Masked for Disclosure Limitation.” Journal of Privacy and Confidentiality 1: 111-124. 10.29012/jpc.v1i1.568Search in Google Scholar