Enabling Privacy-Preserving Incentives for Blockchain-Based Mobile Crowdsensing

With the explosive development of mobile devices, mobile crowdsensing (MCS) has emerged as a promising approach for large-scale sensing data collection, while blockchain has been introduced to secure MCS. This research proposes a two-stage incentive scheme with efficiency, robustness and privacy preservation based on the combination of blockchain technology and Trusted Execution Environment (TEE). Detailedly, we design two kinds of smart contracts where on-chain public ones support the procedure of general crowdsensing interactions, and off-chain private contracts enabled by TEE completes the privacy-preserving computations, including an online incentive mechanism for worker recruitment decision and a truth discovery algorithm for data aggregation. Diverse mechanisms are introduced to avoid attacks and failures of TEE providers. Experimental results also verify the feasibility and superiority of our scheme.