A Range Query Scheme for Spatial Data with Shuffled Differential Privacy
Kaixuan Li,
Hua Zhang,
Yanxin Xu
et al.
Abstract:The existing high-dimensional or multi-dimensional geographic spatial datasets have a large amount of data. When third-party servers collect and publish them, privacy protection is required to prevent sensitive information from being leaked. Local differential privacy can be used to protect location-sensitive information during range queries. However, the accuracy of a range query based on local differential privacy is affected by the distribution and density of spatial data. Based on this, aiming at the distr… Show more
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