Cited by 932Vehicular Ad Hoc Networks (VANETs)Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Blockchain-based decentralized trust management in vehicular networks

Yang, Zhe, Yang, Kan, Lei, Lei, Zheng, Kan, Leung, Victor C. M.·2019·IEEE Internet of Things Journal

Abstract

Vehicular networks enable vehicles to generate and broadcast messages in order to improve traffic safety and efficiency. However, due to the nontrusted environments, it is difficult for vehicles to evaluate the credibilities of received messages. In this paper, we propose a decentralized trust management system in vehicular networks based on blockchain techniques. In this system, vehicles can validate the received messages from neighboring vehicles using Bayesian Inference Model. Based on the validation result, the vehicle will generate a rating for each message source vehicle. With the ratings uploaded from vehicles, roadside units (RSUs) calculate the trust value offsets of involved vehicles and pack these data into a “block.” Then, each RSU will try to add their “blocks” to the trust blockchain which is maintained by all the RSUs. By employing the joint proof-of-work (PoW) and proof-of-stake consensus mechanism, the more total value of offsets (stake) is in the block, the easier RSU can find the nonce for the hash function (PoW). In this way, all RSUs collaboratively maintain an updated, reliable, and consistent trust blockchain. Simulation results reveal that the proposed system is effective and feasible in collecting, calculating, and storing trust values in vehicular networks.

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Registry

Crossref · 10.1109/jiot.2018.2836144

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26 of 26 references verified0 citation errors · 0 not checkable

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  • Two research works aimed to increase the credibility of messages exchanged between vehicles by introducing incentives for drivers to share information about traffic or unexpected events.

    “Moreover, two research works aimed to increase the credibility of messages exchanged between vehicles, introducing incentives for drivers who are motivated to share information about traffic or unexpected events, such as car accidents [86,87].”

    From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [87]

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Authors
Yang, Z., Yang, K., Lei, L., Zheng, K., & Leung, V. C. M.
Affiliations
  • Beijing University of Posts and Telecommunications (CN)
  • University of Memphis (US)
  • James Cook University (AU)
  • University of British Columbia (CA)
Venue
IEEE Internet of Things Journal
Published
2019-04
Volume
6
Issue
2
Pages
1495-1505
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
OpenAlex
W2803109435
Cited by
932
References
26
Citations by year
2026: 32 · 2025: 75 · 2024: 94 · 2023: 135 · 2022: 154 · 2021: 170 · 2020: 173 · 2019: 87 · 2018: 11 · 2012: 1
FWCI
42.18
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Internet of Things Journal (publishedVersion)
  • ResearchOnline at James Cook University (James Cook University) (submittedVersion)
Funders
  • National Natural Science Foundation of China (61731004)
  • BUPT Excellent Ph.D. Students Foundation (CX2016208)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
vehicular networks, blockchain, decentralized trust management, message validation, Bayesian inference, roadside units, proof-of-work, proof-of-stake, consensus algorithms

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