On a disclosure probability statement for the 5 safes framework
On a disclosure probability statement for the 5 safes framework
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关于 5 个安全框架的披露概率声明
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
S. Tam
中科院分区：
文献类型：
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作者：
S. Tam
随着研究界对更频繁和不受限制地获取数据的需求日益增加，国家统计局（nso）正在采用5个安全框架来管理发布此类数据的披露风险。在一些温和的条件下，我们证明了给定5个安全控制的披露概率不大于5个控制中最小的条件披露概率与其余4个安全控制的风险比的乘积。通过计算框架的5个维度中每个维度中所有可能的控件配置的披露概率，可以选择对数据控制最少，但同时满足国家统计局机密性和隐私要求的集合。如果不能满足要求的安全的无条件独立性的假设，本文建议合并一些控制来克服违反。
With increasing demand from the research community for more frequent and unrestricted access to data, national statistical offices (NSOs) are adopting the 5 safes framework to manage the disclosure risk for releasing such data. In this paper, under some mild conditions, we show that the probability of disclosure, given the controls in the 5 safes, is not greater than the product of the smallest conditional disclosure probability amongst the 5 controls and the Risk Ratios of the remaining four safe controls. By computing the disclosure probabilities of all possible configurations of the controls in each of the 5 dimensions of the framework, one can select the set which has the least control on data, but which also meet the confidentiality and privacy requirements of the NSO. Where the required assumption of unconditional independence of the safes cannot be met, the paper proposes a merger of some of the controls to overcome the violation.