TY - GEN
T1 - A blockchain-based vehicle-trust management framework under a crowdsourcing environment
AU - Wang, Dawei
AU - Chen, Xiao
AU - Wu, Haiqin
AU - Yu, Ruozhou
AU - Zhao, Yishi
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Blockchain
KW - Trust management
KW - Trusted execution environment
KW - Vehicular crowdsourcing networks
UR - https://www.scopus.com/pages/publications/85101257697
U2 - 10.1109/TrustCom50675.2020.00266
DO - 10.1109/TrustCom50675.2020.00266
M3 - 会议稿件
AN - SCOPUS:85101257697
T3 - Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020
SP - 1950
EP - 1955
BT - Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020
A2 - Wang, Guojun
A2 - Ko, Ryan
A2 - Bhuiyan, Md Zakirul Alam
A2 - Pan, Yi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020
Y2 - 29 December 2020 through 1 January 2021
ER -