Statistical offices are concerned with problems of protecting confidential information when publishing data in statistical tables. One method to avoid disclosure is the method of cell suppression, in which the values of the sensitive cells in the table are suppressed from publication. To prevent the values of the sensitive cells from being calculated from the tables totals, additional suppressions are necessary. The problem of minimizing the loss of information caused by the additional suppressions is a difficult optimization problem. We present and compare the performance of some heuristics for cell suppression for general three-dimensional tables
Currently, complementary cell suppression procedures are mostly used by statistical agencies to prot...
The most common data products released by the Economic Directorate of the Census Bureau are magnitud...
The safe dissemination of statistical tabular data is one of the main con-cerns of National Statisti...
Statistical offices are concerned with problems of protecting confidential information when publishi...
linear programming, integer programming, confidentiality, statistical disclosure control Abstract1. ...
We study the problem of protecting sensitive data in a statistical two-dimensional table, when the n...
This paper combines the well-known Cell Suppression Methodology (herein called complete cell suppres...
This thesis looks at the problem of protecting large published statistical tables using cell suppres...
As organizations start to publish the data that they collect, either internally or externally, in th...
confidentiality, cell suppression, cell perturbation In recent years there has been much research on...
In this paper we address the problem of protecting con dentiality in statistical tables containing...
Cell suppression is a widely used technique for protecting sensitive information in statistical data...
The increasing demand for information, coupled with the increasing capability of computer systems, h...
One of the main services of National Statistical Agencies (NSAs) for the current Information Society...
Cell suppression is one of the most frequently used techniques to prevent the disclosure of sensitiv...
Currently, complementary cell suppression procedures are mostly used by statistical agencies to prot...
The most common data products released by the Economic Directorate of the Census Bureau are magnitud...
The safe dissemination of statistical tabular data is one of the main con-cerns of National Statisti...
Statistical offices are concerned with problems of protecting confidential information when publishi...
linear programming, integer programming, confidentiality, statistical disclosure control Abstract1. ...
We study the problem of protecting sensitive data in a statistical two-dimensional table, when the n...
This paper combines the well-known Cell Suppression Methodology (herein called complete cell suppres...
This thesis looks at the problem of protecting large published statistical tables using cell suppres...
As organizations start to publish the data that they collect, either internally or externally, in th...
confidentiality, cell suppression, cell perturbation In recent years there has been much research on...
In this paper we address the problem of protecting con dentiality in statistical tables containing...
Cell suppression is a widely used technique for protecting sensitive information in statistical data...
The increasing demand for information, coupled with the increasing capability of computer systems, h...
One of the main services of National Statistical Agencies (NSAs) for the current Information Society...
Cell suppression is one of the most frequently used techniques to prevent the disclosure of sensitiv...
Currently, complementary cell suppression procedures are mostly used by statistical agencies to prot...
The most common data products released by the Economic Directorate of the Census Bureau are magnitud...
The safe dissemination of statistical tabular data is one of the main con-cerns of National Statisti...