I. Fellegi. On the question of statistical confidentiality. Journal of the American Statistical Assoc., 67(337):7--18, March 1972.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....the results of multiple queries. The first line of defence against this problem is the scrutiny of the queries by the parties. In addition, query restriction techniques from the statistical database literature [1, 44] can also help. These techniques include restricting the size of query results [17, 23], controlling the overlap among successive queries [19] and keeping audit trails of all answered queries to detect possible compromises [13] Schema Discovery and Heterogeneity We do not address the question of how to find which database contains which tables and what the attribute names are; we ....

I. Fellegi. On the question of statistical confidentiality. Journal of the American Statistical Assoc., 67(337):7--18, March 1972.

....average, maximum, minimum, pth percentile, etc. without compromising sensitive information about individuals [1] 47] The proposed techniques can be broadly classified into query restriction and data perturbation. The query restriction family includes restricting the size of query results [13] [18], controlling the overlap among successive queries [14] keeping audit trails of all answered queries and constantly checking for possible compromises [8] suppression of data cells of small size [9] and clustering entities into mutually exclusive atomic populations [61] The perturbation family ....

I. Fellegi. On the question of statistical confidentiality. J. Am. Stat. Assoc., 67(337):7--18, March 1972.

....disclosure control with respect to person specific data is to ensure that released data are anonymous. 3. 1 Statistical databases Federal and state statistics offices around the world have traditionally been entrusted with the release of statistical information about all aspects of the populace [23]. The techniques, practices and Computational Disclosure Control 01 08 01 8:22 AM 53 theories from this community however, have historically had three tremendous advantages. First, most statistics offices held centralized, sole source exhaustive collections of information and therefore could ....

I. Fellegi. On the question of statistical confidentiality. Journal of the American Statistical Association, 1972, pp. 7-18.

....databases on which to build. 3. 1 Statistical databases The production and release of statistical databases has traditionally been concerned with inferences that can reveal private information about an individual using statistical compilations reported about a group containing the individual [8, 9, 10, 11, 12]. Like other data holders, statistics offices are also facing tremendous demand for entityspecific data for applications such as data mining, cost analysis, and retrospective research. But many of the established statistical database techniques, which involve various ways of adding noise [13] to ....

I. Fellegi. On the question of statistical confidentiality. Journal of the American Statistical Association, 1972, pp. 7-18.

....etc. without compromising sensitive information about individuals (see excellent surveys in [AW89] Sho82] The proposed techniques can be broadly classified into query restriction and data perturbation. The query restriction family includes restricting the size of query result (e.g. Fel72] DDS79] controlling the overlap amongst successive queries (e.g. DJL79] keeping audit trail of all answered queries and constantly checking for possible compromise (e.g. CO82] suppression of data cells of small size (e.g. Cox80] and clustering entities into mutually exclusive atomic ....

I.P. Fellegi. On the question of statistical confidentiality. J. Am. Stat. Assoc., 67(337):7-- 18, March 1972.

.... release would allow unauthorized inference of sensitive information [3, 7] Inferential disclosure occurs when two or more data tables, taken together, enable a user to identify information pertaining to individual respondents even though none of the data, taken by itself, is a direct disclosure [12]. This can occur when a linear combination of released cells results in unique identification of sensitive cell values. In Dutta Chowdhury (1996) methods were presented by which certain non sensitive projections of a database containing sensitive information can be combined to infer sensitive ....

I.P. Fellegi. On the question of statistical confidentiality. Journal of American Statistical Association, 67(337):7--18, March 1972.

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I. Fellegi. On the question of statistical confidentiality. Journal of the American Statistical Assoc., 67(337):7--18, March 1972.

No context found.

I. Fellegi, "On the question of statistical confidentiality", Journal of the American Statistical Association, 1972, pp. 7--18.

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