DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing-Reference-Cited by-同舟云学术

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DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing

Published:2019-01 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Alharthi Raed,Aloufi Esam,Alqazzaz Ali,Alrashdi Ibrahim,Zohdy Mohamed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8663971/8666184/08666501.pdf?arnumber=8666501

Cited by 7 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. User Mobility Modeling in Crowdsourcing Application to Prevent Inference Attacks;Future Internet;2024-08-28

2. A novel dual cloud server privacy-preserving scheme in spatial crowdsourcing;Computers & Security;2024-03

3. Synthesizing Privacy-Preserving Traces: Enhancing Plausibility with Social Networks;Signals and Communication Technology;2024

4. Blockchain-based mobile crowdsourcing model with task security and task assignment;Expert Systems with Applications;2023-01

5. TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection;2020 IEEE International Conference on Electro Information Technology (EIT);2020-07

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