K. Muralidhar et al., ACCESSIBILITY, SECURITY, AND ACCURACY IN STATISTICAL DATABASES - THE CASE FOR THE MULTIPLICATIVE FIXED DATA PERTURBATION APPROACH, Management science, 41(9), 1995, pp. 1549-1564
Citations number
60
Categorie Soggetti
Management,"Operatione Research & Management Science
Organizations store data regarding their operations, employees, consum
ers, and suppliers in their databases. Some of the data are considered
confidential, and by law, the organization is required to provide app
ropriate 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 awa
reness and empirical evidence about the relative effectiveness of secu
rity mechanisms. This study investigates the effectiveness of differen
t security mechanisms for protecting numerical database attributes. Th
e trade-off between security, accessibility, and accuracy are examined
. A comparison of different security mechanisms reveals that fixed dat
a perturbation is preferred because it maximizes both security and acc
essibility. An investigation of the different approaches to fixed data
perturbation indicates that multiplicative method best meets these cr
iteria.