Data shuffling procedure for masking data

Electrical computers and digital processing systems: support – Data processing protection using cryptography

Reexamination Certificate

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C713S193000, C707S793000, C707S793000

Reexamination Certificate

active

10437315

ABSTRACT:
A method for data shuffling to preserve data confidentiality is provided. The method comprises masking of particular attributes of a dataset which are to be preserved in confidentiality, followed by a shuffling step comprising sorting the transformed dataset and a transformed confidential attribute in accordance with the same rank order criteria. For normally distributed datasets, transformation may be achieved by general additive data perturbation, followed by generating a normalized perturbed value of the confidential attribute using a conditional distribution of the confidential and non-confidential attribute. In another aspect, a software program for accomplishing the method of the present invention is provided. The method of the invention provides greater security and utility for the data, and increases user comfort by allowing use of the actual data without identifying the origin.

REFERENCES:
Security of Random Data Perturbation Methods, Muralidhar et al, pp. 487-493, ACM, 2000.
A General Additive Data Perturbation Method for Database Security, Muralidhar et al, pp. 1399-1415, Management Sciences, 1999.
Masking Microdata Files, Kim et al, pp. 114-119, US Bureau of Census, 1995.
Controlled Data-swapping Techniques for Masking Public Use Microdata Sets, Moore, Jr., pp. 1-27, US Bureau Census, 1996.
Producing Public-Use Microdata that Are Analytically valid and confidential, Winkler et al, pp. 41-50, US Bureau of census, 1997.
Statistical Notions of Data Disclosure Avoidance and Their Relationship to Traditional Statistical Methodology: Data Swapping and Loglinear Models, Fienberg et al, Proceedings of Bureau of Census 1996 Annual Research.

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