Local Privacy-Preserving Dynamic Worker Locations in Spatial Crowdsourcing
An outsourcing service named spatial crowdsourcing (SC) becomes popular, whereby the SC-server allocates nearby tasks to the workers based on the outsourced task and worker locations. Exposing real locations can cause serious privacy leakage. However, traditional differential privacy (DP) and encryp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9352000/ |