Lichen Cheng, Jiqiang Liu, Guangquan Xu, Zonghua Zhang, Hao Wang, Hong-Ning Dai, Yulei Wu, Wei Wang
IEEE Transactions on Computational Social Systems (early access)
Publication year: 2019

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.

Keywords

  • Attribute-based encryption (ABE)
  • Blockchain
  • Internet of Vehicles (IoVs)
  • Privacy preserving.\

Bibtex

@ARTICLE{lchen:TCSS19, 
	author={Lichen Cheng and Jiqiang Liu and Guangquan Xu and Zonghua Zhang and Hao Wang and Hong-Ning Dai and Yulei Wu and Wei Wang}, 
	journal={IEEE Transactions on Computational Social Systems}, 
	title={SCTSC: A Semicentralized Traffic Signal Control Mode With Attribute-Based Blockchain in IoVs}, 
	year={2019}, 
	volume={}, 
	number={}, 
	pages={1-10}, 
	doi={10.1109/TCSS.2019.2904633}, 
	ISSN={2329-924X}, 
	month={},
}

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