文章基本信息

标题：Identification Risks Evaluation of Partially Synthetic Data with the IdentificationRiskCalculation R Package
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作者：Ryan Hornby ; Jingchen Hu
期刊名称：Transactions on Data Privacy
印刷版ISSN：1888-5063
电子版ISSN：2013-1631
出版年度：2021
卷号：14
期号：1
页码：37-52
语种：English
出版社：IIIA-CSIC
摘要：We extend a general approach to evaluating identification risk of synthesized variables in partially synthetic data. For multiple continuous synthesized variables, we introduce the use of a radius r in the construction of identification risk probability of each target record, and illustrate with working examples. We create the IdentificationRiskCalculation R package to aid researchers and data disseminators in performing these identification risks evaluation calculations. We demonstrate our methods through the R package with applications to a data sample from the Consumer Expenditure Surveys, and discuss the impacts on risk and data utility of 1) the choice of radius r, 2) the choice of synthesized variables, and 3) the choice of the number of synthetic datasets. We give recommendations for statistical agencies for synthesizing and evaluating identification risk of continuous variables.
关键词：Identification disclosure risks; Privacy protection; Synthetic data; Utility-risk trade-off