Disclosure Control of Business Microdata: A Density-Based Approach

被引：2
|
作者：
Ichim, Daniela [1 ]
机构：
[1] Ist Nazl Stat, I-00184 Rome, Italy
来源：
INTERNATIONAL STATISTICAL REVIEW | 2009年 / 77卷 / 02期
关键词：
Statistical disclosure control; risk of disclosure; local outlier factor; selective masking; business microdata; microdata files for research purposes; RISK; PROTECTION;
D O I：
10.1111/j.1751-5823.2009.00079.x
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
P>For continuous key variables, a measure of the individual risk of disclosure is proposed. This risk measure, the local outlier factor, estimates the density around a unit. A selective masking method based on the nearest-neighbour principle and microaggregation is also introduced. Some results of an application to the Italian sample of the Community Innovation Survey are presented.
引用
收藏
页码：196 / 211
页数：16
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