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Differential Privacy Plugin icon

Plugin ID: 867
(1) votes 

Methods for anonymizing data for public distribution

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]. The grid based masking system is discussed in [4].
Credits
[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.
[2] https://github.com/chatziko/location-guard
[3] Dwork, C. & Roth, A., 2014. The Algorithmic Foundations of Differential
Privacy. Foundations and Trends® in Theoretical Computer Science, 9(3-4),
pp.211–407.
[4] Seidl, D.E., Jankowski, P. & Tsou, M.-H., 2015. Privacy and spatial
pattern preservation in masked GPS trajectory data. International Journal of
Geographical Information Science, 30(4), pp.785–800.
Toucan by Lane F. Kinkade from the Noun Project
https://thenounproject.com/term/toucan/166080

Author
Henry Walshaw
Maintainer
spatialvision
Tags
pointanalysisstatisticsmetadata
Plugin home page
https://github.com/SpatialVision/differential_privacy
Tracker
Browse and report bugs
Code repository
https://github.com/SpatialVision/differential_privacy
Latest experimental version:
0.5.1
Plugin ID
867
Version Experimental Min QGIS version Max QGIS version Downloads Uploaded by Date
0.5.1 yes 2.0.0 2.99.0 2829 spatialvision 2016-03-15T10:25:49.457685+00:00
0.4.0 yes 2.0.0 2.99.0 1022 spatialvision 2015-11-04T23:08:09.038900+00:00

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