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Software for tabular data protection.

Joe Fred Gonzalez1, Lawrence H Cox

  • 1Centers for Disease Control and Prevention, National Center for Health Statistics, Office of Research and Methodology, Hyattsville, MD 20782, USA. jgonzalez@cdc.gov

Statistics in Medicine
|January 29, 2005
PubMed
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Protecting sensitive survey data is crucial for public trust. This study introduces a software system implementing five methods to safeguard tabular data privacy in statistical tables.

Area of Science:

  • Statistics
  • Data Privacy
  • Information Security

Background:

  • National statistical offices require public trust to collect vital data.
  • Protecting respondent privacy and data confidentiality is imperative for maintaining this trust.
  • Disclosure limitation techniques are essential for releasing sensitive survey and census data.

Purpose of the Study:

  • To present a novel desktop software system for tabular data protection.
  • To implement five disclosure limitation techniques within a unified framework.
  • To address the need for robust privacy-preserving methods in official statistics.

Main Methods:

  • The study details five disclosure limitation techniques for two-dimensional tables.
  • These include complementary cell suppression and controlled rounding variants (minimum-distance, unbiased, subtotal-constrained).

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  • A new method, controlled tabular adjustment, is also introduced and implemented.

    • Main Results:

    • A comprehensive software system is described, integrating five distinct disclosure limitation techniques.
    • The system provides a single framework for applying these methods to tabular data.
    • This facilitates the practical application of advanced privacy protection measures.

    Conclusions:

    • The developed software offers a valuable tool for national statistical offices.
    • It enables the effective application of multiple disclosure limitation techniques for tabular data.
    • This contributes to enhancing data privacy and maintaining public confidence in statistical outputs.