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Montreal, Quebec, Canada
July 25, 2005 to July 27, 2005
ISBN: 0-7695-2404-4
pp: 317-326
Xintao Wu , University of North Carolina at Charlotte
Chintan Sanghvi , University of North Carolina at Charlotte
Yongge Wang , University of North Carolina at Charlotte
Yuliang Zheng , University of North Carolina at Charlotte
ABSTRACT
Testing of database applications is of great importance. A significant issue in database application testing consists in the availability of representative data. In this paper we investigate the problem of generating a synthetic database based on a-priori knowledge about a production database. Our approach is to fit general location model using various characteristics (e.g., constraints, statistics, rules) extracted from the production database and then generate the synthetic data using model learnt. The generated data is valid and similar to real data in terms of statistical distribution, hence it can be used for functional and performance testing. As characteristics extracted may contain information which may be used by attacker to derive some confidential information about individuals, we present our disclosure analysis method which applies cell suppression technique for identity disclosure analysis and perturbation for value disclosure.
INDEX TERMS
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CITATION
Xintao Wu, Chintan Sanghvi, Yongge Wang, Yuliang Zheng, "Privacy Aware Data Generation for Testing Database Applications", IDEAS, 2005, Proceedings. 9th International Database Engineering and Applications Symposium (IDEAS 2005), Proceedings. 9th International Database Engineering and Applications Symposium (IDEAS 2005) 2005, pp. 317-326, doi:10.1109/IDEAS.2005.45
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