Traditionally, magnitude tabular data and microdata masking have been treated as two independent problems. An increasing number of government agencies are exploring establishing remote data access centers where both types of data release may occur. We argue that in these cases, consistency across both types of data release becomes an important component in the assessment of the performance of a...

Microdata files released at the Israel Central Bureau of Statistics currently undergo a series of ad-hoc decisions with regard to protecting the confidentiality of statistical entities. In general, there are three levels of microdata files: PUF which is released upon request to legitimate researchers after they outline the details of their research, MUC which is available to researchers in univ...

Microaggregation is one of the most commonly employed microdata protection methods. The basic idea of microaggregation is to anonymize data by aggregating original records into small groups of at least k elements and, therefore, preserving k-anonymity. Usually, in order to avoid information loss, when records are large, i.e., the number of attributes of the data set is large, this data set is s...

Increased corporate, government and academic demand has prompted official statistics to release individual respondent data (microdata) in addition to the traditional tabular data. Microdata must be masked by a statistical disclosure control (SDC) method before being published, because otherwise the statistical confidentiality of respondents would be compromised. A novel application of watermark...

Flourinoccinihilipilification

Protection against disclosure is important for statistical agencies releasing microdata files from sample surveys. Estimates of simple measures of disclosure risk can provide useful evidence to support decisions about release. We propose a new measure of disclosure risk: the probability that a unique match between a microdata record and a population unit is correct. We argue that this measure h...

Censuses are one of the most relevant types of statistical data, allowing analyses of the population in terms of demography, economy, sociology, and culture. For finegrained analysis, census agencies publish census microdata that consist of a sample of individual records of the census containing detailed anonymous individual information. Working with microdata from different censuses and doing ...