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A Method of Masking Based on Multiplicative Noise
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 Title & Authors
A Method of Masking Based on Multiplicative Noise
Jeong, Dong-Myeong; Kim, Jay-J.; Kim, Kyung-Mi;
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 Abstract
According to the type of microdata, the various methods have been in use for masking microdata. Multiplicative noise is the one of popular schemes for masking continuous variables. In this paper, we introduce the method of masking based on multiplicative noise and show some results of the application on the 2006 Householder Income and Expenditure Survey (HIES) data. To create the multiplicative noise factor, we used the triangular distribution. truncated triangular distribution, trapezoidal distribution, and double triangular distribution. Also, formulas for the domain estimation for the data masked by the multiplicative noise are developed.
 Keywords
Disclosure limitation;HIES;truncation distribution;
 Language
Korean
 Cited by
1.
승법잡음모형을 이용한 통계적 노출조절기법의 적용,김영원;김태연;김계남;

응용통계연구, 2011. vol.24. 1, pp.127-136 crossref(new window)
2.
Study on a Measurement of Disclosure Risk of Microdata by Similarity,;;;

응용통계연구, 2012. vol.25. 5, pp.743-755 crossref(new window)
1.
Study on a Measurement of Disclosure Risk of Microdata by Similarity, Korean Journal of Applied Statistics, 2012, 25, 5, 743  crossref(new windwow)
2.
Application of a Statistical Disclosure Control Techniques Based on Multiplicative Noise, Korean Journal of Applied Statistics, 2011, 24, 1, 127  crossref(new windwow)
3.
Test for Theory of Portfolio Diversification, Korean Journal of Applied Statistics, 2011, 24, 1, 1  crossref(new windwow)
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