Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Noise Addition

  • Josep Domingo-FerrerEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1495


Additive noise


Noise addition is a masking method for statistical disclosure control of numerical microdata that consists of adding random noise to original microdata.

Key Points

The noise addition algorithms in the literature are:
  1. 1.

    Masking by uncorrelated noise addition. The vector of observations xj for the jth attribute of the original dataset Xj is replaced by a vector

    $$ {z}_j={x}_j+{\upepsilon}_j $$
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Recommended Reading

  1. 1.
    Kim JJ. A method for limiting disclosure in microdata based on random noise and transformation. In: Proceedings of the Section on Survey Research Methods; 1986. p. 303–8.Google Scholar
  2. 2.
    Sullivan GR. The use of added error to avoid disclosure in microdata releases. PhD thesis, Iowa State University; 1989.Google Scholar
  3. 3.
    Brand R. Microdata protection through noise addition. In: Domingo-Ferrer J, editor. Inference control in statistical databases. LNCS, vol. 2316. Berlin: Springer; 2002. p. 97–116.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Universitat Rovira i VirgiliTarragonaSpain

Section editors and affiliations

  • Elena Ferrari
    • 1
  1. 1.DiSTAUniv. of InsubriaVareseItaly