Abstract
Two-dimensional contingency tables are central products of many information organizations such as statistical agencies, census bureaus, and health insurance information agencies. In a contingency table, any sensitive information about individuals must be protected, while some aggregated information can be released. The disclosure risk is that the aggregated information can be used to infer some sensitive information about individuals. Since the disclosure of sensitive information may compromise privacy, confidentiality, and national interests, one needs to carefully assess the latent risk of disclosure and take effective methods to protect the data.
Work of Lu and Li was supported in part by SMU Research Office. Work of Wu was supported in part by USA National Science Foundation Grant IIS-0546027.
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Lu, H., Li, Y., Wu, X. (2006). Disclosure Risk in Dynamic Two-Dimensional Contingency Tables (Extended Abstract). In: Bagchi, A., Atluri, V. (eds) Information Systems Security. ICISS 2006. Lecture Notes in Computer Science, vol 4332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11961635_25
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DOI: https://doi.org/10.1007/11961635_25
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