Research Article

Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software

Volume: 4 Number: 3 September 30, 2017
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Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software

Abstract

Abstract: Statistical offices collect large amounts of data for statistical purposes. A basic principle in statistical legal frameworks is that data collected for statistical purposes may only be used for the production of statistics. However, statistical offices experience increasing pressure from scientists and governments to provide access to detailed data. There are high costs and risks associated with micro data access. When micro data sets are released, it is possible that external users may attempt to breach confidentiality. In this paper, an object-oriented statistical disclosure control software, OOSDCS was developed to facilitate statisticians and to apply statistical disclosure control methods to create safe micro data files. The developed hybrid, flexible and interactive software was successfully applied as a disclosure control method.

Keywords

References

  1. [1] Quinto, W. and Singer, S. “Trade secrets : law and practice”, Oxford University, Press New York , 2009. [2] Elliot, M.J. and Dale, A.,”Scenarios of attack : the data intruder's perspective on statistical disclosure risk”, Netherlands Official Statistical, Spring,1999, pp. 6-10. [3] ASA, “Data Access and Personal Privacy: Appropriate Methods of Disclosure Control”, American Statistical Association Notice, 2008. [4] Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, S., Lenz R., Longhurst, J.,. Schulte Nordholt, E., Seri, G., and de Wolf, P.P., “Handbook on Statistical Disclosure Control”, 2009, vol 1.1, ESSnet SDC. [5] Gouweleeuw, J., Kooiman, M., Willenborg, P., and Wolf, de P. P., “Post randomization for statistical disclosure control: Theory and implementation”, Journal of Official Statistics, issue 14, 1998a, pp. 463-478. [6] Gouweleeuw, J.M., P. Kooiman, L.C.R.J. Willenborg and P.P. de Wolf (1998b), The post randomisation method for protecting micropdata”, Qüestiió, Quaderns d'Estadística i nvestigació Operativa, vol. 22 issue 1, 1998b, pp. 145 – 156. [7] Warner, S.L,“Randomized Response; a survey technique for eliminating evasive answer bias”, Journal of the American Statistical Association, vol. 57, 1965, pp. 622 - 627. [8] Hundepool, A., de Wetering, A.V., Ramaswamy, R., Franconi, L., Capobianchi, A., De Wolf, P.P., Domingo J. F., Torra, V., Brand, R., and Giessing, S., “µ-ARGUS version 4.2 Software and User's Manual”, Statistics Netherlands, Voorburg NL, 2008. [9] Templ, M., “Statistical Disclosure Control for Microdata Using the R-Package sdcMicro”, Transactions on Data Privacy, vol.1-2, 2008, pp. 67 – 85. [10] Manning, A. M., and Haglin, D. J., “A new algorithm for finding minimal sample uniques for use in statistical disclosure assessment”, IEEE International Conference on Data Mining (ICDM05), Nov. 2005, pp 290-297. [11] Templ, M., “sdcMicro: Statistical Disclosure Control methods for the generation of public- and scientific-use files”, 2009. http://cran.r-project.org/web/packages/sdcMicro [12] Capobianchi, A., Polettini, S., and Lucarelli, M., “Strategy for the implementation of individual risk methodology into µ-ARGUS”, Technical report, Report for the CASC project. No: 1.2-D1, 2001. [13] de Wolf , P.P., Hundepool, A., Giessing, S., Salazar , J.J., Castro, J., “µ-argus version 4.1 software and user’s manual”, Argus Open Source-project, Statistics Netherland, P.O. Box 24500, 2014.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Abdulsamet Haşıloğlu
Department of Computer Engineering, Atatürk University, Erzurum
Türkiye

Abdulkadir Balı This is me
Ataturk University, Institute of Science and Technology, Computer Engineering, Erzurum, Turkey
Türkiye

Publication Date

September 30, 2017

Submission Date

May 19, 2017

Acceptance Date

-

Published in Issue

Year 2017 Volume: 4 Number: 3

APA
Haşıloğlu, A., & Balı, A. (2017). Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software. El-Cezeri, 4(3), 319-333. https://doi.org/10.31202/ecjse.315033
AMA
1.Haşıloğlu A, Balı A. Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software. El-Cezeri Journal of Science and Engineering. 2017;4(3):319-333. doi:10.31202/ecjse.315033
Chicago
Haşıloğlu, Abdulsamet, and Abdulkadir Balı. 2017. “Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software”. El-Cezeri 4 (3): 319-33. https://doi.org/10.31202/ecjse.315033.
EndNote
Haşıloğlu A, Balı A (September 1, 2017) Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software. El-Cezeri 4 3 319–333.
IEEE
[1]A. Haşıloğlu and A. Balı, “Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software”, El-Cezeri Journal of Science and Engineering, vol. 4, no. 3, pp. 319–333, Sept. 2017, doi: 10.31202/ecjse.315033.
ISNAD
Haşıloğlu, Abdulsamet - Balı, Abdulkadir. “Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software”. El-Cezeri 4/3 (September 1, 2017): 319-333. https://doi.org/10.31202/ecjse.315033.
JAMA
1.Haşıloğlu A, Balı A. Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software. El-Cezeri Journal of Science and Engineering. 2017;4:319–333.
MLA
Haşıloğlu, Abdulsamet, and Abdulkadir Balı. “Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software”. El-Cezeri, vol. 4, no. 3, Sept. 2017, pp. 319-33, doi:10.31202/ecjse.315033.
Vancouver
1.Abdulsamet Haşıloğlu, Abdulkadir Balı. Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software. El-Cezeri Journal of Science and Engineering. 2017 Sep. 1;4(3):319-33. doi:10.31202/ecjse.315033
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