A Note of Proposed Privacy Measures in Randomized Response Models

被引：0

作者：

Hong Zhimin ^{[1
]}

Yan Zaizai ^{[1
]}

Wei Lidong ^{[2
]}

机构：

[1] Inner Mongolia Univ Technol, Coll Sci, Dept Math, Hohhot 010051, Inner Mongolia, Peoples R China

[2] Bureau Stat, Hohhot 010000, Peoples R China

来源：

COMBINING SOFT COMPUTING AND STATISTICAL METHODS IN DATA ANALYSIS | 2010年 / 77卷

基金：

中国国家自然科学基金;

关键词：

Privacy of respondent; Randomized response; Efficiency; PROTECTION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Randomized response (say, RR) techniques on survey are used for collecting data on sensitive issues while trying to protect the respondents' privacy The degree of confidentiality will clearly determine whether or not respondents choose to cooperate. There have been many proposals for privacy measures with very different implications for an optimal model design. These derived measures of protection privacy involves both conditional probabilities of being perceived as belonging to the sensitive group A under given an answer "yes" or "no", denoted as P(A \ yes) and P(A \ no). This motivates us to evaluate the proposed measures of protection privacy This article shows that the most of the proposed measures of protection privacy are unified.

引用

页码：635 / +

页数：2

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