2020-07-14
Statistical disclosure control when publishing on thematic maps
Publication
Publication
Presented at the
Privacy in Statistical Databases (July 2020)
The spatial distribution of a variable, such as the energy consumption per company, is usually plotted by colouring regions of the study area according to an underlying table which is already protected from disclosing sensitive information. The result is often heavily influenced by the shape and size of the regions. In this paper, we are interested in producing a continuous plot of the variable directly from microdata and we protect it by adding random noise. We consider a simple attacker scenario and develop an appropriate sensitivity rule that can be used to determine the amount of noise needed to protect the plot from disclosing private information.
| Additional Metadata | |
|---|---|
| doi.org/10.1007/978-3-030-57521-2_14 | |
| Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence | |
| Privacy in Statistical Databases | |
| Organisation | Stochastics |
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Hut, D., Goseling, J., van Lieshout, M.-C., de Wolf, P.-P., & de Jonge, E. (2020). Statistical disclosure control when publishing on thematic maps. In Proceedings of Privacy in Statistical Databases 2020 (pp. 195–205). doi:10.1007/978-3-030-57521-2_14 |
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