Three-way optimization of privacy and utility of location data. (arXiv:2206.10525v2 [cs.CR] UPDATED)

With the recent bloom of data and the drive towards an information-based
society, the urge of and the advancements in data analytics is surging like
never before. And with this, the risks of privacy violation of various kinds
are also increasing manifold. Most of the methods to mitigate the privacy risks
for location data resort to adding some noise to the location, like the planar
Laplace used to achieve geo-indistinguishability. However, the noise should be
calibrated carefully, taking into account …

data location location data privacy