Research on key technologies of mobile crowd sensing for privacy-preserving
Author:
Affiliation:
1. Heilongjiang University,School of Computer Science and Technology,Harbin, 150080,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9813730/9814715/09814790.pdf?arnumber=9814790
Reference35 articles.
1. PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing
2. BRAKE: Bilateral Privacy-Preserving and Accurate Task Assignment in Fog-Assisted Mobile Crowdsensing
3. A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing
4. Spatio-Temporal Similarity based Privacy-Preserving Worker Selection in Mobile Crowdsensing
5. Towards Privacy-driven Truthful Incentives for Mobile Crowdsensing Under Untrusted Platform
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