BSAS: A Blockchain-Based Trustworthy and Privacy-Preserving Speed Advisory System

Jianbin Li, Shike Li, Long Cheng*, Qingzhi Liu, Jiaming Pei, Shen Wang

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)


Consensus-based Speed Advisory System (CSAS) is used to recommend a consensus speed to a group of vehicles for specific application purposes, such as minimizing emissions or energy consumption. To remedy data privacy concerns for speed advisory services, the latest works have investigated how to get an optimal speed in a privacy-preserving manner. However, almost all the designs are based on a centralized architecture, which could still meet service trust issues, such as that a random speed could be recommended when the central server meets cyber incursion attacks. To address the problem, in this paper we propose BSAS, a trustworthy and privacy-preserving CSAS over the blockchain. Specifically, BSAS follows a fully decentralized architecture with cryptographic primitives to guarantee service trust and data privacy. Moreover, to encourage vehicles to participate in the service computing process, a value-driven incentive mechanism is also employed. We present the detailed design and implementation of BSAS, and our emulation results show that the proposed BSAS can achieve promising system performance in terms of real-time speed recommendation in a trustworthy and privacy-preserving way.

Original languageEnglish
Pages (from-to)11421-11430
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Issue number11
Early online date8 Jul 2022
Publication statusPublished - Nov 2022


  • Base stations
  • blockchain
  • Blockchains
  • Cost function
  • Data privacy
  • data privacy
  • optimal consensus algorithm
  • Real-time systems
  • Smart contracts
  • Speed advisory systems
  • Systems architecture
  • trust services


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