Journal article

Privacy- And context-aware release of trajectory data

E Naghizade, L Kulik, E Tanin, J Bailey

ACM Transactions on Spatial Algorithms and Systems | ACM | Published : 2020

Abstract

The availability of large-scale spatio-temporal datasets along with the advancements in analytical models and tools have created a unique opportunity to create valuable insights into managing key areas of society from transportation and urban planning to epidemiology and natural disasters management. This has encouraged the practice of releasing/publishing trajectory datasets among data owners. However, an ill-informed publication of such rich datasets may have serious privacy implications for individuals. Balancing privacy and utility, as a major goal in the data exchange process, is challenging due to the richness of spatio-temporal datasets. In this article, we focus on an individual's st..

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