Application of a Statistical Disclosure Control Techniques Based on Multiplicative Noise Kim, Young-Won; Kim, Tae-Yeon; Ki, Kye-Nam;
Multiplicative noise model is the one of popular method for masking continuous variables. In this paper, we propose the transformation on the variable to which random noise was multiplied. An advantage of the masking method using proposed transformation is that the masking data users can obtain the unbiased values of mean and variance of original (unmasked) data. We also consider the data utility and correlation structure of variables when we apply the proposed multiplicative noise scheme. To investigate the properties of the method of masking based on multiplicative noise, a simulation study has been conducted using the 2008 Householder Income and Expenditure Survey data.
Data utility;disclosure risk;multiplicative noise model;statistical disclosure control;
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