Accessibility, Security, and Accuracy in Statistical Databases: The Case for the Multiplicative Fixed Data Perturbation Approach

Krishnamurty Muralidhar, Dinesh Batra and Peeter J. Kirs
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Krishnamurty Muralidhar: Florida International University, Department of Decision Sciences and Information Systems, University Park, Miami, Florida 33199
Dinesh Batra: Florida International University, Department of Decision Sciences and Information Systems, University Park, Miami, Florida 33199
Peeter J. Kirs: Department of Management, University of Texas at El Paso, El Paso, Texas 77968

Management Science, 1995, vol. 41, issue 9, 1549-1564

Abstract: Organizations store data regarding their operations, employees, consumers, and suppliers in their databases. Some of the data are considered confidential, and by law, the organization is required to provide appropriate security measures in order to preserve privacy. Yet a number of companies have little or no security measures. The reason for this lack of security may, at least in part, be attributed to a lack of awareness and empirical evidence about the relative effectiveness of security mechanisms. This study investigates the effectiveness of different security mechanisms for protecting numerical database attributes. The trade-off between security, accessibility, and accuracy are examined. A comparison of different security mechanisms reveals that fixed data perturbation is preferred because it maximizes both security and accessibility. An investigation of the different approaches to fixed data perturbation indicates that multiplicative method best meets these criteria.

Keywords: database management; data security; data perturbation (search for similar items in EconPapers)
Date: 1995
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