A Framework for Managing Multifaceted Privacy Leakage While Optimizing Utility in Continuous LBS Interactions

arXiv:2404.13407v1 Announce Type: new
Abstract: Privacy in Location-Based Services (LBS) has become a paramount concern with the ubiquity of mobile devices and the increasing integration of location data into various applications. In this paper, we present several novel contributions aimed at advancing the understanding and management of privacy leakage in LBS. Our contributions provides a more comprehensive framework for analyzing privacy concerns across different facets of location-based interactions. Specifically, we introduce $(\epsilon, \delta)$-location privacy, $(\epsilon, \delta, \theta)$-trajectory privacy, and $(\epsilon, …

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