Mobile crowdsensing(MCS) exploits mobile users carrying with smart devices to collect massive sensing data in a cost-satisfactory manner. However, malicious users intentionally upload false data to obtain rewards. The reputation management is an effective solution. However, the cloud-based mobile crowdsensing system has problems such as high latency, single point of failure and privacy disclosure. To solve these problems, this paper combined the blockchain with edge computing to construct a blockchain-based edge mobile crowdsensing system, and proposed a reputation updating scheme for privacy-preserving of sensing data. The scheme used a lightweight additive secret sharing technique to aggregate sensing data, and designed a reputation updating mechanism based on data quality and historical sensing task performance. The scheme could effectively resist malicious users, reduced the delay of the system, avoided the single point of failure and protected data privacy. The simulation results demonstrate the feasibility and efficiency of the proposed scheme, and the theoretical analysis illustrates the security of the proposed system.

[2023-01-13] Accepted Paper /doc/2022.10.0507/v1

[2023-06-05] Printed Article /doc/2022.10.0507/v2