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Enhancing frequent location privacy-preserving strategy based on geo-Indistinguishability
The increasing use of hand-held devices which have access to location information, has raised the risk of privacy disclosure. To implement privacy...
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Accurate and Efficient Trajectory-Based Contact Tracing with Secure Computation and Geo-Indistinguishability
Contact tracing has been considered as an effective measure to limit the transmission of infectious disease such as COVID-19. Trajectory-based...
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A Privacy Preserving Method for Trajectory Data Publishing Based on Geo-Indistinguishability
Trajectory data contains rich space-time information. Analysis and research on it can provide important information for location-based services....
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Mitigating Privacy Vulnerability Caused by Map Asymmetry
Geo-indistinguishability, an extension of differential privacy and thus, a mathematically rigorous privacy concept, has been researched extensively...
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Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks
In recent years, Geo-Indistinguishability (GeoI) has been increasingly explored for protecting location privacy in location-based services (LBSs)....
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Trajectory Hiding and Sharing for Supply Chains with Differential Privacy
With the fast development of e-commerce, there is a higher demand for timely delivery. Logistic companies want to send receivers a more accurate...
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Location Differential Privacy Protection in Task Allocation for Mobile Crowdsensing Over Road Networks
Mobile Crowdsensing (MCS) platforms often require workers to provide their locations for task allocation, which may cause privacy leakage. To protect...
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Hilbert curves-based location privacy technique for vehicular cloud networks
Location privacy (LP) plays an important role in location-based services (LBS) offered by different service providers. Many applications request...
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Vehicle Trajectory Obfuscation and Detection
A vehicle in road networks shares location data with other vehicles and location-based services (LBS) through Internet-of-vehicles (IoV). By...
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Learning-Based Maritime Location Privacy Protection
In maritime networks (MNs), ships and other maritime mobile devices release their geographical and semantic information of the visited places (e.g.,...
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On the effectiveness of differential privacy to continuous queries
Location-based services have a wide range of applications; more recent among those include monitoring virus spread and disaster management....
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Scope and Related Work
This chapter details the criteria for inclusion of different data privacy definitions from this Brief and lists related works and existing surveys in...
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Variation of Privacy Loss (V)
Differential privacy offers the same protection for all records. In practice, some records might require a higher level of protection. This chapter...
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Differential-Privacy Preserving Trajectory Data Publishing for Road Networks
In the sharing of user trajectory data of road networks, privacy leakage emerges to be a major concern because attackers may make aggressive...
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Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering
Location-based service (LBS) is one of the most popular applications in 5G environment. Users can enjoy plenty of intelligent services, but serious...
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Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
Federated learning (FL) is a framework for training machine learning models in a distributed and collaborative manner. During training, a set of...
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A Certificateless Conditional Anonymous Authentication Scheme for Satellite Internet of Things
The satellite Internet of Things (satellite IoT) has the characteristics of large space-time span and highly open communication links. While...
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Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning
Nowadays, large-scale individual trajectories can be collected by various location-based social network services, which enables us to better...
