Minimum-distance controlled perturbation methods for large-scale tabular data protection

National Statistical Agencies routinely release large amounts of tabular information. Prior to dissemination, tabular data needs to be processed to avoid the disclosure of individual confidential information. One widely used class of methods is based on the modification of the table cells values. However, previous approaches were not able to preserve the values of the marginal cells and the additivity relations for a general table of any dimension, size and structure. This void was recently filled by the controlled tabular adjustment and one of its variants, the quadratic minimum-distance controlled perturbation method. Although independently developed, both approaches rely on the same strategy: given a set of tables to be protected, they find the minimum-distance values to the original cells that make the released information safe. Controlled tabular adjustment uses the L1 distance; the quadratic minimum-distance variant considers L2.

• Type: Journal
• Year: 2006
• Where: EOR
• Authors: Jordi Castro
• Keywords: EOR 2006, National Statistical Agencies, Tabular, Tabular Adjustment