Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
권호 표지
DOI QR코드

DOI QR Code

Release of Microdata and Statistical Disclosure Control Techniques

마이크로데이터 제공과 통계적 노출조절기법

  • 김규성 (서울시립대학교 통계학과)
  • Published : 2009.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

When micro data are released to users, record by record data are disclosed and the disclosure risk of respondent's information is inevitable. Statistical disclosure control techniques are statistical tools to reduce the risk of disclosure as well as to increase data utility in case of data release. In this paper, we reviewed the concept of disclosure and disclosure risk as well as statistical disclosure control techniques and then investigated selection strategies of a statistical disclosure control technique related with data utility. The risk-utility frontier map method was illustrated as an example. Finally, we listed some check points at each step when microdata are released.

마이크로데이터를 이용자에게 제공하면 레코드 단위의 데이터가 노출되고 응답자의 정보 노출위험이 불가피하다. 통계적 노출조절기법은 통계데이터 제공시 노출위험을 줄이면서 데이터 유용성을 높이기 위한 통계적 기법이다. 본 논문에서는 노출과 노출위험, 그리고 통계적 노출조절기법을 고찰하였고 데이터 유용성과 연관하여 노출조절기법 선택 전략을 살펴보았으며, '위험-유용성 경계 지도' 방법의 예를 알아보았다. 마지막으로 마이크로데이터를 이용자에게 제공할 때 단계별로 검토할 사항을 알아보았다.

Keywords

References

  1. 김경미, 이의규, 정미옥 (2008). 마이크로데이터 제공 현황에 관한 해외사례 연구. <마이크로데이터 활용연구 및 통계를 이용한 현황분석연구>, 3장,41-87, 통계개발원
  2. 정동명, 김종익, 강동환 (2007). 인구센서스의 비밀보호방법. <통계연구>, 12, 95-120
  3. Burkhauser, R., Butler, J., Feng, S., and Houtenville, A. (2004). Long term trends in earnings inequality: what the CPS can tell us. Economics Letters, 82, 295-299 https://doi.org/10.1016/j.econlet.2003.08.011
  4. Cox, L.H. and Kim, J. J. (2006). Effects of rounding on the quality and confidentiality of statistical data. Privacy in Statistical Database, edited by Domingo-Ferrer, J. and Torra, V. 48-56
  5. Domingo-Ferrer, J. and Mateo-Sanz, J.M. and Torres, A. (2001). Comparing SDC methods for miocrodata on the basis of information loss and disclosure risk of disclosure control methods. In Proceeding of ETK-NTTS 2001, 807-825. Lumxembourg
  6. Gomatam, S., Karr, A.F. and Sanil, A.P. (2003). A risk-utility framework for categorical data swapping. NISS technical report no. 132
  7. Gomatam, S., Karr, A.F. and Sanil, A.P. (2005). Data swapping as a decision problem. Journal of Official Statistics, 21, 635-655
  8. Hundepool, A., Nordholt, S., Tambay. J-L., Wende, T., and Elliot, M. (2005). Glossary on statistical disclosure control. Joint UNECE/Eurostat work session on statistical data confidentiality, WP. 45. Geneva
  9. Karr, A.F., Kohnen, C.N., Oganian. A., Reiter, J.P. and Sanil, A.P. (2006). A framework for evaluation the utility of data altered to protect confidentiality. The Americal Statistician, 60, 1-9 https://doi.org/10.1198/000313006X124640
  10. Lane, J. (2007). Optimizing the use of microdata: an overview of the issues. Journal of Official Statistics, 23, 299-317
  11. Willenborg, L. and de Waal, T. (2001). Elements of Statistical Disclosure Control, Springer.
  12. Zayatz, L. (2007). Disclosure avoidance practices and research at the U.S. Census Bureau: an update. Journal of Official Statistics, 23, 253-265

Cited by

  1. Application of a Statistical Disclosure Control Techniques Based on Multiplicative Noise vol.24, pp.1, 2011, https://doi.org/10.5351/KJAS.2011.24.1.127
  2. Statistical disclosure control for public microdata: present and future vol.29, pp.6, 2016, https://doi.org/10.5351/KJAS.2016.29.6.1041
  3. Test for Theory of Portfolio Diversification vol.24, pp.1, 2011, https://doi.org/10.5351/KJAS.2011.24.1.001