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Société

Unique in the Crowd : The privacy bounds of human mobility

analyse - 26 octobre 2015

lire sur le site originel >>> (nature.com)

We study fifteen months of human mobility data for one and a half million individuals and find that human mobility traces are highly unique. In fact, in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier’s antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals. We coarsen the data spatially and temporally to find a formula for the uniqueness of human mobility traces given (...)



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données - géolocalisation - smartphone - nature.com -

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