Araştırma Makalesi

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

Cilt: 4 Sayı: 3 30 Eylül 2017
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Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software

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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.

Anahtar Kelimeler

Kaynakça

  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.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

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

Abdulkadir Balı Bu kişi benim
Ataturk University, Institute of Science and Technology, Computer Engineering, Erzurum, Turkey
Türkiye

Yayımlanma Tarihi

30 Eylül 2017

Gönderilme Tarihi

19 Mayıs 2017

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 4 Sayı: 3

Kaynak Göster

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. ECJSE. 2017;4(3):319-333. doi:10.31202/ecjse.315033
Chicago
Haşıloğlu, Abdulsamet, ve 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 (01 Eylül 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 ve A. Balı, “Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software”, ECJSE, c. 4, sy 3, ss. 319–333, Eyl. 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 (01 Eylül 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. ECJSE. 2017;4:319–333.
MLA
Haşıloğlu, Abdulsamet, ve Abdulkadir Balı. “Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software”. El-Cezeri, c. 4, sy 3, Eylül 2017, ss. 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. ECJSE. 01 Eylül 2017;4(3):319-33. doi:10.31202/ecjse.315033