Preserving Location Privacy in Spatial Crowdsourcing Under Quality Control

Preserving Location Privacy in Spatial Crowdsourcing Under Quality Control

Emerging spatial crowdsourcing (SC) provides an approach for collecting and analyzing spatiotemporal information from intelligent transportation systems. However, the exposure of massive location privacy to potential adversaries for the purpose of quality control makes workers more vulnerable. To pr...

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Bibliographic Details
Main Authors: Xiang Chu, Jun Liu, Daqing Gong, Rui Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Spatial crowdsourcing
obfuscation location privacy of workers
quality control
EM algorithm
Online Access:https://ieeexplore.ieee.org/document/8883242/

Internet

https://ieeexplore.ieee.org/document/8883242/

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