Achieve Location Privacy-Preserving Range Query in Vehicular Sensing

  title={Achieve Location Privacy-Preserving Range Query in Vehicular Sensing},
  author={Qinglei Kong and Rongxing Lu and M. Ma and Haiyong Bao},
  journal={Sensors (Basel, Switzerland)},
Modern vehicles are equipped with a plethora of on-board sensors and large on-board storage, which enables them to gather and store various local-relevant data. However, the wide application of vehicular sensing has its own challenges, among which location-privacy preservation and data query accuracy are two critical problems. In this paper, we propose a novel range query scheme, which helps the data requester to accurately retrieve the sensed data from the distributive on-board storage in… Expand
Efficient location privacy-preserving range query scheme for vehicle sensing systems
Privacy-aware query processing in vehicular ad-hoc networks
A secure and lightweight privacy-preserving data aggregation scheme for internet of vehicles
A Survey on Secure Computation Based on Homomorphic Encryption in Vehicular Ad Hoc Networks
Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT


EPLQ: Efficient Privacy-Preserving Location-Based Query Over Outsourced Encrypted Data
An Efficient Privacy-Preserving Location-Based Services Query Scheme in Outsourced Cloud
Preserving privacy in participatory sensing systems
Efficient and Privacy-Preserving Polygons Spatial Query Framework for Location-Based Services
Privacy in Mobile Computing for Location-Sharing-Based Services
A hybrid approach for privacy-preserving processing of knn queries in mobile database systems
Exploring Historical Location Data for Anonymity Preservation in Location-Based Services
  • Toby Xu, Ying Cai
  • Computer Science
  • IEEE INFOCOM 2008 - The 27th Conference on Computer Communications
  • 2008
Location privacy-preserving k nearest neighbor query under user's preference
EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications
User-Defined Privacy Grid System for Continuous Location-Based Services