Location Privacy Protection in Vehicle-Based Spatial Crowdsourcing via Geo-Indistinguishability-Reference-Cited by-同舟云学术

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Location Privacy Protection in Vehicle-Based Spatial Crowdsourcing via Geo-Indistinguishability

Published:2020 Issue: Volume: Page:1-1
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Qiu Chenxi,Squicciarini Anna Cinzia,Pang Ce,Wang Ning,Wu Ben

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09259240.pdf?arnumber=9259240

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Privacy-Preserving Routing and Charging Scheduling for Cellular-Connected Unmanned Aerial Vehicles;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-08

2. Adaptive Cloaking Region Obfuscation in Road Networks;2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA);2024-05-10

3. Towards achieving geo‐indistinguishability for 3D GPS location: A 3D Laplace mechanism approach;Concurrency and Computation: Practice and Experience;2024-04-10

4. An Adversarial-robust Graph Representation Learning for Energy-aware Vehicle Routing Considering Privacy;2024 8th International Conference on Green Energy and Applications (ICGEA);2024-03-14

5. Privacy-preserving batch-based task assignment over spatial crowdsourcing platforms;Computer Networks;2024-03

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