What is it about?
Location Trajectories represent a sequence of locations visited by an individual, for instance, collected through smartphones. This data is valuable for data analysis tasks, such as transport optimisation, contact tracing, or marketing. However, the trajectories can reveal sensitive knowledge such as sexual, political, or religious orientations. In this work, we show that existing approaches to protect location trajectories are not providing sufficient privacy despite claiming guaranteed privacy. Hence, this work highlights the need for more research to properly protect location trajectories.
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Photo by José Martín Ramírez Carrasco on Unsplash
Why is it important?
Our findings show that even protection approaches that rely on the de-facto privacy gold standard Differential Privacy cannot provide sufficient privacy for the individuals whose trajectories are published. Therefore, locations trajectories should not be published solely relying on such protection measures. Moreover, it is crucial that the research community develops better protection methods in order to unlock the huge potential of location trajectory analyses.
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This page is a summary of: Reconstruction Attack on Differential Private Trajectory Protection Mechanisms, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3564625.3564628.
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