IPUMS-International disseminates more than two hundred-fifty integrated, confidentialized census microdata samples to thousands of researchers world-wide at no cost. The number of samples is increasing at the rate of several dozen per year, as quickly as the task of integrating metadata and microdata is completed. Protecting the statistical confidentiality and privacy of individuals represented...

With the phenomenal change in a way data are collected, stored and disseminated among various data analyst there is an urgent need of protecting the privacy of data. As when individual data get disseminated among various users, there is a high risk of revelation of sensitive data related to any individual, which may violate various legal and ethical issues. Statistical Disclosure Control (SDC) ...

Before statistical data, such as microdata, can be released to the public, it needs to be anonymised. Anonymisation protects the privacy of the individuals whose data is released. However, as microdata is anonymised, its level of privacy increases, while its level of information utility decreases. K-anonymity is often used to address the conflict between privacy and information utility in micro...

k-Anonymity and l-Diversity have laid the fundamental techniques for preserving privacy in microdata, and many research works have been inspired by them, proposing better and stronger levels of privacy. A common technique for achieving higher privacy in microdata tables is to diversify the records in such a way that sensitive information stored in the data is less likely to be disclosed. While ...

We propose a strategy for disclosure risk evaluation and disclosure control of a microdata set based on fitting decomposable models of a multiway contingency table corresponding to the microdata set. By fitting decomposable models, we can evaluate per-record identification (or re-identification) risk of a microdata set. Furthermore we can easily determine swappability of risky records which doe...

In this paper, we define several disclosure risk measures for microdata. We will analyze disclosure risk based on the disclosure control techniques applied to initial microdata. Disclosure Control is the discipline concerned with the modification of data containing confidential information about individual entities, such as persons, households, businesses, etc. in order to prevent third parties...

The software SAFE has been developed at the State Statistical Institute Berlin-Brandenburg and has been in regular use there for several years now. It involves an algorithm that yields a controlled cell frequency perturbation. When a microdata set has been protected by this method, any table which can be computed on the basis of this microdata set will not contain any small cells, e.g. cells wi...

To limit the risks of disclosures when releasing data to the public, it has been suggested that statistical agencies release multiply imputed, synthetic microdata. For example, the released microdata can be fully synthetic, comprising random samples of units from the sampling frame with simulated values of variables. Or, the released microdata can be partially synthetic, comprising the units or...