Publication | Closed Access
A Blockchain-Based Vehicle-Trust Management Framework Under a Crowdsourcing Environment
18
Citations
14
References
2020
Year
Unknown Venue
Blockchain Consensus ProtocolEngineeringBlockchain MaintenanceInformation SecurityTrust Management ArchitectureFintechMechanism DesignData PrivacyTrustCrowdsourcing EnvironmentComputer ScienceData SecurityCryptographyCrowdsourcing ServicesSecure Trust EvaluationCloud ComputingBusinessBlockchainBlockchain Protocol
Vehicular crowdsourcing networks (VCNs) enable vehicles to provide or obtain traffic-related services in a costefficient and flexible manner. Therefore, it is crucial to provide trusted management in VCNs for high reliability towards both service producers and consumers. However, most recent VCN platforms rely on a third party to manage crowdsourcing services which might be not fully trusted by users. For the issue, this paper proposes a blockchain-based trust management scheme for VCNs to provide a decentralized and trusted service management. A comprehensive trust evaluation model (TEM) is designed to quantify the trust degree of each vehicular node, and a vehicle-trust blockchain framework called VTchain is proposed to preserve the trust values of nodes while guaranteeing transparency and trustworthiness. Particularly, we leverage a trusted execution environment (TEE) to provide secure trust evaluation to tackle possible untrusted road-side units. In addition, we introduce TEM-based Proof of Trust to support blockchain maintenance, which works together with an efficient consensus algorithm Zyzzyva for improved scalability. Finally, extensive experiments are conducted by developing a testbed deployed on cloud servers for measurements.
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