STATISTICAL COMMISSION and COMMISSION OF THE ECONOMIC COMMISSION FOR EUROPE EUROPEAN COMMUNITIES CONFERENCE OF EUROPEAN STATISTICIANS EUROSTAT
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چکیده
1. The accurate and reliable assessment of statistical disclosure risk is a necessary pre-cursor of the efficient application of disclosure control techniques. Research on statistical disclosure risk assessment with respect to microdata files has two major themes. The first uses the concept of uniqueness, examining the level of unique individuals or households within populations and samples (See for example, Dalenius Bethlehem et. al. (1990)). The second attempts to model actual disclosure attempts by matching individual records in a target file with those in an identification file (for example Muller et al(1992), Elliot and Dale(1998)). Both of these approaches are problematic. The uniqueness statistics require population data to calculate them and do not relate directly to with what a data intruder might actually do in attempting to identify individual within a dataset. The matching experiment approaches have a direct relationship but are ad hoc with respect of the identification data set chosen.
منابع مشابه
WP.14 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)
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UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT) ORGANIZATION FOR ECONOMIC COOPERATION AND DEVELOPMENT (OECD) STATISTICS DIRECTORATE
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STATISTICAL COMMISSION and COMMISSION OF THE ECONOMIC COMMISSION FOR EUROPE EUROPEAN COMMUNITIES CONFERENCE OF EUROPEAN STATISTICIANS EUROSTAT Joint ECE/Eurostat Work Session on Statistical Data Confidentiality
In this paper we consider a first attempt to deal with re-identification of individuals when the variables in the two data files to be matched are not exactly the same but "similar".
متن کاملSTATISTICAL COMMISSION and COMMISSION OF THE ECONOMIC COMMISSION FOR EUROPE EUROPEAN COMMUNITIES CONFERENCE OF EUROPEAN STATISTICIANS EUROSTAT
An overview of papers submitted on Topic 2 (Impact of new technogical developments in software, communications and computing on SDC) is first given. Then a list of key issues for substantive discussion are identified.
متن کاملSTATISTICAL COMMISSION and COMMISSION OF THE ECONOMIC COMMISSION FOR EUROPE EUROPEAN COMMUNITIES CONFERENCE OF EUROPEAN STATISTICIANS EUROSTAT
1. The paper presents brief descriptions of various cell suppression software packages, focussing on availability, costs, platforms, and the underlying methodology. The systems performances will be compared with respect to information loss, and computing time requirement; other key qualities of the software will be discussed.
متن کاملWP. 9 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)
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تاریخ انتشار 2001