Multivariate Noise Protocols
Document Type
Article
Publication Date
2010
Publication Title
Privacy in Statistical Databases, Lecture Notes in Computer Science 6344
DOI
10.1007/978-3-642-15838-4_10
Abstract
Statistical agencies have conflicting obligations to protect confidential information provided by respondents to surveys or censuses and to make data available for research and planning activities. When the microdata themselves are to be released, in order to achieve these conflicting objectives, statistical agencies apply Statistical Disclosure Limitation (SDL) methods to the data, such as noise addition, swapping or microaggregation. In this paper, several multiplicative noise masking schemes are presented. These schemes are designed to preserve positivity and inequality constraints in the data together with means and covariance matrix.
Recommended Citation
Oganian, Anna.
2010.
"Multivariate Noise Protocols."
Privacy in Statistical Databases, Lecture Notes in Computer Science 6344: 107-117: Springer-Verlag.
doi: 10.1007/978-3-642-15838-4_10
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/135
