Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Publication date | 2006 |
---|---|
Host publication | Privacy in Statistical Databases - CENEX-SDC Project International Conference, PSD 2006, Proceedings |
Editors | Josep Domingo-Ferrer, Luisa Franconi |
Publisher | Springer-Verlag |
Pages | 152-163 |
Number of pages | 12 |
ISBN (print) | 9783540493303 |
<mark>Original language</mark> | English |
Event | CENEX-SDC Project of International Conference on Privacy in Statistical Databases, PSD2006 - Rome, Italy Duration: 13/12/2006 → 15/12/2006 |
Conference | CENEX-SDC Project of International Conference on Privacy in Statistical Databases, PSD2006 |
---|---|
Country/Territory | Italy |
City | Rome |
Period | 13/12/06 → 15/12/06 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 4302 |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Conference | CENEX-SDC Project of International Conference on Privacy in Statistical Databases, PSD2006 |
---|---|
Country/Territory | Italy |
City | Rome |
Period | 13/12/06 → 15/12/06 |
Statistical disclosure limitation is widely used by data collecting institutions to provide safe individual data. In this paper, we propose to combine two separate disclosure limitation techniques blanking and addition of independent noise in order to protect the original data. The proposed approach yields a decrease in the proba bility of reidentifying/disclosing the individual information, and can be applied to linear as well as nonlinear regression models. We show how to combine the blanking method and the measurement error method, and how to estimate the model by the combination of the Simulation-Extrapolation (SIMEX) approach proposed by [4] and the Inverse Probability Weighting (IPW) approach going back to [8]. We produce Monte-Carlo evidence on how the reduction of data quality can be minimized by this masking procedure.