Data confidentiality: A review of methods for statistical disclosure limitation and methods for assessing privacy

IF 11 Q1 STATISTICS & PROBABILITY Statistics Surveys Pub Date : 2011-01-01 DOI:10.1214/11-SS074
Gregory J. Matthews, O. Harel
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引用次数: 88

Abstract

There is an ever increasing demand from researchers for access to useful microdata files. However, there are also growing concerns regarding the privacy of the individuals contained in the microdata. Ideally, microdata could be released in such a way that a balance between usefulness of the data and privacy is struck. This paper presents a review of proposed methods of statistical disclosure control and techniques for assessing the privacy of such methods under different definitions of disclosure. AMS 2000 subject classifications: Primary 62A01.
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数据保密:统计披露方法、限制和隐私评估方法综述
研究人员对获取有用的微数据文件的需求不断增加。然而,人们对微数据中个人隐私的担忧也日益增加。理想情况下,微数据可以以这样一种方式发布,即在数据的有用性和隐私之间取得平衡。本文综述了统计披露控制的建议方法,以及在不同披露定义下评估这些方法的隐私性的技术。AMS 2000学科分类:初级62A01。
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来源期刊
Statistics Surveys
Statistics Surveys STATISTICS & PROBABILITY-
CiteScore
11.70
自引率
0.00%
发文量
5
期刊介绍: Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.
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