A blockchain-based vehicle-trust management framework under a crowdsourcing environment

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

A blockchain-based vehicle-trust management framework under a crowdsourcing environment. / Wang, Dawei; Chen, Xiao; Wu, Haiqin; Yu, Ruozhou; Zhao, Yishi.

Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020. ed. / Guojun Wang; Ryan Ko; Md Zakirul Alam Bhuiyan; Yi Pan. IEEE, 2020. p. 1950-1955 9342990.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Wang, D, Chen, X, Wu, H, Yu, R & Zhao, Y 2020, A blockchain-based vehicle-trust management framework under a crowdsourcing environment. in G Wang, R Ko, MZA Bhuiyan & Y Pan (eds), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020., 9342990, IEEE, pp. 1950-1955, 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020, Guangzhou, China, 29/12/2020. https://doi.org/10.1109/TrustCom50675.2020.00266

APA

Wang, D., Chen, X., Wu, H., Yu, R., & Zhao, Y. (2020). A blockchain-based vehicle-trust management framework under a crowdsourcing environment. In G. Wang, R. Ko, M. Z. A. Bhuiyan, & Y. Pan (Eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 (pp. 1950-1955). [9342990] IEEE. https://doi.org/10.1109/TrustCom50675.2020.00266

Vancouver

Wang D, Chen X, Wu H, Yu R, Zhao Y. A blockchain-based vehicle-trust management framework under a crowdsourcing environment. In Wang G, Ko R, Bhuiyan MZA, Pan Y, editors, Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020. IEEE. 2020. p. 1950-1955. 9342990 https://doi.org/10.1109/TrustCom50675.2020.00266

Author

Wang, Dawei ; Chen, Xiao ; Wu, Haiqin ; Yu, Ruozhou ; Zhao, Yishi. / A blockchain-based vehicle-trust management framework under a crowdsourcing environment. Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020. editor / Guojun Wang ; Ryan Ko ; Md Zakirul Alam Bhuiyan ; Yi Pan. IEEE, 2020. pp. 1950-1955

Bibtex

@inproceedings{f74e605a68de46379740818b0d68d932,
title = "A blockchain-based vehicle-trust management framework under a crowdsourcing environment",
abstract = "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.",
keywords = "Blockchain, Trust management, Trusted execution environment, Vehicular crowdsourcing networks",
author = "Dawei Wang and Xiao Chen and Haiqin Wu and Ruozhou Yu and Yishi Zhao",
year = "2020",
doi = "10.1109/TrustCom50675.2020.00266",
language = "English",
pages = "1950--1955",
editor = "Guojun Wang and Ryan Ko and Bhuiyan, {Md Zakirul Alam} and Yi Pan",
booktitle = "Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020",
publisher = "IEEE",
note = "19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 ; Conference date: 29-12-2020 Through 01-01-2021",

}

RIS

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

PY - 2020

Y1 - 2020

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 - http://www.scopus.com/inward/record.url?scp=85101257697&partnerID=8YFLogxK

U2 - 10.1109/TrustCom50675.2020.00266

DO - 10.1109/TrustCom50675.2020.00266

M3 - Article in proceedings

AN - SCOPUS:85101257697

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 - IEEE

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 -

ID: 258706540