Title

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.

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