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http://dx.doi.org/10.5351/KJAS.2009.22.1.141

A Method of Masking Based on Multiplicative Noise  

Jeong, Dong-Myeong (Statistics Research Institute, KNSO)
Kim, Jay-J. (National Center for Health Statistics(NCHS))
Kim, Kyung-Mi (Statistics Research Institute, KNSO)
Publication Information
The Korean Journal of Applied Statistics / v.22, no.1, 2009 , pp. 141-151 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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