This QGIS Processing provider plugin implements different methods for the anonymization of spatial data (typically point samples) with the goal of making the data publicly available, while preserving the privacy of the individuals whose information the dataset contains (see [3]).

The differential privacy algorithm is based on the algorithm outlined in [1] and implemented by Konstantinos Chatzikokolakis in the Location Guard browser extension [2].

[1] Andrés, M.E., Bordenabe, N.E., Chatzikokolakis, K., and Palamidessi, P. 2013. 'Geo-indistinguishability: Differential Privacy for Location-Based Systems', In the Proceedings of the 2013 ACM SIGSAC conference on Computer and Communications Security (CCS'13). New York, New York, USA: ACM Press, pp. 901–914. Online at http://arxiv.org/abs/1212.1984v3

[2] https://github.com/chatziko/location-guard

[3] https://en.wikipedia.org/wiki/Differential_privacy

Toucan by Lane F. Kinkade from the Noun Project https://github.com/SpatialVision/differential_privacy

• 0.4.0 (5th November 2015): Add option to limit shift distance to the 95% confidence interval.
• 0.3.0 (4th November 2015): Add the 95% confidence as an output of the displacement tool, to be used (for example) as an input to a buffer operation.
• 0.2.0 (4th November 2015): Add the displacement lines testing tool.
• 0.1.0 (3rd November 2015): Initial version with independent anonymization of points only.