Using Regression to Compromise Statistical Databases: A Modification of the Attribute Correlation Modeling Approach

Using Regression to Compromise Statistical Databases: A Modification of the Attribute Correlation Modeling Approach

Myun J. Cheon (University of South Carolina, USA) and Patrick R. Philipoom (University of South Carolina, USA)
Copyright: © 1991 |Pages: 8
DOI: 10.4018/jdm.1991040102
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Abstract

It has been shown that statistical databases can be compromised by regression using the Attribute Correlation Modeling method. This method, however, does not work well when only a small portion of the database can be sampled. Some of the shortcomings of the Attribute Correlation Modeling approach are discussed. A modification of the Attribute Correlation Modeling method which addresses these shortcomings is presented and compared to the original approach using Census Data. The modified Attribute Correlation Modeling method significantly outperforms the previous approach.

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