Disclosure Control of Business Microdata: A Density‐Based Approach

Daniela Ichim

International Statistical Review, 2009, vol. 77, issue 2, 196-211

Abstract: For continuous key variables, a measure of the individual risk of disclosure is proposed. This risk measure, the local outlier factor, estimates the density around a unit. A selective masking method based on the nearest‐neighbour principle and microaggregation is also introduced. Some results of an application to the Italian sample of the Community Innovation Survey are presented. Pour les clefs d'identification continues, une mesure du risque individuel de réidentification est proposée. Cette mesure, le facteur de donnée aberrante locale, estime la densité autour d'une unité. Une méthode de protection sélective, basée sur le principe des plus proches unités et sur la micro‐agrégation, est également introduite. Des résultats de l'application à l'anonymisation de fichier de données individuelles provenant de l'échantillon italien de l'enquête « Community Innovation » sont presentés.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/j.1751-5823.2009.00079.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:istatr:v:77:y:2009:i:2:p:196-211

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0306-7734

Access Statistics for this article

International Statistical Review is currently edited by Eugene Seneta and Kees Zeelenberg

More articles in International Statistical Review from International Statistical Institute Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().