Assessment of disclosure risk when using confidentiality via camouflage
成果类型：
Article
署名作者：
Li, Han; Muralidhar, Krishnamurty; Sarathy, Rathindra
署名单位：
Virginia State University; University of Kentucky; Oklahoma State University System; Oklahoma State University - Stillwater
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1070.0426
发表日期：
2007
页码：
1178-1182
关键词：
摘要：
The confidentiality-via-camouflage (CVC) procedure was recently proposed as an alternative to existing procedures such as data perturbation for protecting the confidentiality of numerical data. In this paper, we show that CVC, implemented with certain parameters, could potentially disclose confidential information. We identify the conditions under which such compromise will occur. We provide new derivations for the database administrator to select CVC parameters to avoid such disclosure. We also derive CVC parameters that allow the database administrator to evaluate the trade-off between disclosure risk and data utility, and we provide an expression to evaluate partial value disclosure risk of CVC. Thus, the results of this study should aid the database administrator in evaluating the applicability of CVC.