SCTSC : A Semicentralized Traffic Signal Control Mode with Attribute-Based Blockchain in IoVs

Lichen CHENG, Jiqiang LIU, Guangquan XU, Zonghua ZHANG, Hao WANG, Hong Ning DAI, Yulei WU, Wei WANG*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

28 Citations (Scopus)

Abstract

Assisting traffic control is one of the most important applications on the Internet of Vehicles (IoVs). Traffic information provided by vehicles is desired since drivers or vehicle sensors are sensitive in perceiving or detecting nuances on roads. However, the availability and privacy preservation of this information are critical while conflicted with each other in the vehicular communication. In this paper, we propose a semicentralized mode with attribute-based blockchain in IoVs to balance the tradeoff between the availability and the privacy preservation. In this mode, a method of control-by-vehicles is used to control signals of traffic lights to increase traffic efficiency. Users are grouped their attributes such as locations and directions before starting the communication. The users reach an agreement on determining a temporary signal timing by interacting with each other without leaking privacy. Final decisions are verifiable to all users, even if they have no a priori agreement and processes of consensus. The mode not only achieves the aim of privacy preservation but also supports responsibility investigation for historical agreements via ciphertext-policy attribute-based encryption (CP-ABE) and blockchain technology. Extensive experimental results demonstrated that our mode is efficient and practical.

Original languageEnglish
Article number8681131
Pages (from-to)1373-1385
Number of pages13
JournalIEEE Transactions on Computational Social Systems
Volume6
Issue number6
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received December 20, 2018; revised February 24, 2019; accepted March 4, 2019. Date of publication April 3, 2019; date of current version December 9, 2019. This work was supported in part by National Key R&D Program of China under Grant 2017YFB0802805 and Grant 2017YFE0111900, in part by Natural Science Foundation of China under Grant U1736114, Grant 61672092, Grant 61572355, and Grant U1736115, and in part by the Fundamental Research Funds for the Central Universities of China under Grant 2018JBZ103. (Corresponding author: Wei Wang.) L. Cheng, J. Liu, and W. Wang are with the Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing 100044, China (e-mail: lccheng@bjtu.edu.cn; jqliu@bjtu.edu.cn; wangwei1@bjtu.edu.cn).

Funding Information:
This work was supported in part by National Key R&D Program of China under Grant 2017YFB0802805 and Grant 2017YFE0111900, in part by Natural Science Foundation of China under Grant U1736114, Grant 61672092, Grant 61572355, and Grant U1736115, and in part by the Fundamental Research Funds for the Central Universities of China under Grant 2018JBZ103.

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Attribute-based encryption (ABE)
  • blockchain
  • Internet of Vehicles (IoVs)
  • privacy preserving

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