Obtaining Information while Preserving Privacy: A Markov Perturbation Method for Tabular Data
Obtaining Information while Preserving Privacy: A Markov Perturbation Method for Tabular Data
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发表时间：
1997
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通讯作者：
G. Duncan;S. E. Feinberg
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文献类型：
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作者：
G. Duncan;S. E. Feinberg
特定级别的保密保护gen-item era方法是提供保密性有限的数据，以最大限度地提高其统计效用，但须遵守保密-图数据使用者的特征知识约束基于马尔可夫链方法的披露限制，考虑到真实的数据中潜在的不确定性，研究了用于分类数据表的称为马尔可夫扰动的方法。Kooiman Confidential的PRAM方法
specified level of confidentiality protection The gen- item era approach is to provide disclosure-limited data that maximize their statistical utility subject to confidential- Figure Characterization of Data Users Knowledge ity constraints Disclosure limitation based on Markov chain methods that respect the underlying uncertainty in real data is examined For use with categorical data tables method called Markov perturbation is proposed II Dt as an extension of the PRAM method of Kooiman Confidential