A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing

Proceedings of the VLDB Endowment - United States
doi 10.14778/2732951.2732966
Full Text
Abstract

Available in full text

Date
Authors
Publisher

VLDB Endowment

Related search

Quantifying and Protecting Location Privacy

IT - Information Technology
Computer Science
2015English

Privacy-Preserving Task Assignment in Spatial Crowdsourcing

Journal of Computer Science and Technology
HardwareComputer Science ApplicationsArchitectureMathematicsComputational TheoryTheoretical Computer ScienceSoftware
2017English

FOUGERE: User-Centric Location Privacy in Mobile Crowdsourcing Apps

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2019English

A Real-Time Framework for Task Assignment in Hyperlocal Spatial Crowdsourcing

ACM Transactions on Intelligent Systems and Technology
Artificial IntelligenceTheoretical Computer Science
2018English

A Survey on Privacy Preserving and Content Protecting Location Based Queries

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2017English

A Cloaking Algorithm Based on Spatial Networks for Location Privacy

2008English

Protecting Privacy With the MPEG-21 IPMP Framework

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2017English

Protecting Multi-Party Privacy in Location-Aware Social Point-Of-Interest Recommendation

World Wide Web
HardwareComputer NetworksSoftwareArchitectureCommunications
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy