Getting lost in the crowd: The limits of privacy in location data

27/03/2021 | IAPP

Given the benefits of detailed location data, academics and industry practitioners have been asking whether there is a fix for privacy limits in these datasets. Physicist Ali Farzanehfar and Imperial College Computational Privacy Group PhD student Florimond Houssiau said these questions “become more and more pressing as evidence grows for the availability and utility of human mobility data.” They look at the challenge of anonymizing location data and whether individual records in large datasets effectively become anonymous by being “lost in the crowd.”

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