Information security and privacy in the healthcare sector is an issue of growing importance.
The adoption of digital patient records, increased regulation, provider consolidation and the …

A reference to answer all your statistical confidentiality questions. This handbook provides
technical guidance on statistical disclosure control and on how to approach the problem of …

We initiate a theoretical study of the census problem. Informally, in a census individual
respondents give private information to a trusted party (the census bureau), who publishes a …

Privacy is an important issue when one wants to make use of data that involves individuals'
sensitive information. Research on protecting the privacy of individuals and the …

Today's globally networked society places great demand on the dissemination and sharing
of information, which is probably becoming the most important and demanded resource …

We study the problem of generating synthetic databases having declaratively specified
characteristics. This problem is motivated by database system and application testing, data …

The increased power and interconnectivity of computer systems available today provide the
ability of storing and processing large amounts of data, resulting in networked information …

Abstract The Manhattan Street Network (MS-Net) and Shuffle-Exchange Network (SX-Net)
are two-connected networks with significantly different topologies. Fixed-size packets are …

Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive
information. Its origin is in statistics with the goal to ensure the confidentiality of data …

Data linkage is the task of matching and aggregating records that relate to the same entity
from one or more data sets. A related technique is geocoding, the matching of addresses to …