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Bounded Small Cell Adjustments for Flexible Frequency Table Generators

  • Min-Jeong ParkEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11126)

Abstract

Statistics Korea has disseminated census data through the Statistical Geographic Information Service (SGIS) system. Users can easily access the system on a web-site and obtain frequencies on the map for diverse size-of-area units according to their selection of variables. In order to control the disclosure risk for frequency tables, we thoroughly examined the Small Cell Adjustments (SCA) method to find the reasons for disclosures: we then suggested the Bounded Small Cell Adjustments (BSCA) procedure in this paper. From the analysis on the census data of a Korean city of approximately 1.5 million people, we demonstrated the efficiency of BSCA, which reduces information loss under B in most cells while maintaining B-anonymity in all cells as intended in the SCA idea. The B denotes the criterion value defining a small cell. Furthermore, we have discussed the relationship between disclosure risk and information loss by BSCA.

Keywords

Frequency table Table generating system Small cell adjustments Information loss Disclosure risk Risk-utility map 

References

  1. 1.
    Hernández-García, M.-S., Salazar-González, J.-J.: Further developments with perturbation techniques to protect tabular data. In: Domingo-Ferrer, J. (ed.) PSD 2014. LNCS, vol. 8744, pp. 24–35. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-11257-2_3CrossRefGoogle Scholar
  2. 2.
    Hundepool, A., et al.: Statistical Disclosure Control. Wiley, Hoboken (2012)Google Scholar
  3. 3.
    Shlomo, N., Antal, L., Elliot, M.: Measuring disclosure risk and data utility for flexible table generators. J. Official Stat. 31(2), 306–324 (2015)CrossRefGoogle Scholar
  4. 4.
    Sweeney, L.: Achieving \(k\)-anonymity privacy protection using generalization and suppression. Int. J. Uncertainty, Fuzziness Knowl.-Based Syst. 10(5), 571–588 (2002)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Statistical Research Institute, Statistics KoreaDaejeonKorea

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