Securing connected vehicle applications with an efficient dual cyber- physical blockchain framework

Xiangguo Liu, Baiting Luo, Ahmed Abdo, Nael Abu-Ghazaleh, Qi Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

While connected vehicle (CV) applications have the potential to revolutionize traditional transportation system, cyber and physical attacks on them may lead to disastrous consequences. In this work, we propose an efficient dual cyber-physical blockchain framework to build trust and secure communication for CV applications. Our approach incorporates blockchain technology and physical sensing capabilities of vehicles to quickly react to attacks in a large-scale vehicular network, with low resource overhead. We explore the application of our framework to three CV applications, i.e., highway merging, intelligent intersection management, and traffic network with route choices. Simulation results demonstrate the effectiveness of our blockchain-based framework in defending against spoofing attacks, bad mouthing attacks, and Sybil and voting attacks. We also provide analysis to show the timing and resource efficiency of our framework.

Original languageEnglish (US)
Title of host publication32nd IEEE Intelligent Vehicles Symposium, IV 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages393-400
Number of pages8
ISBN (Electronic)9781728153940
DOIs
StatePublished - Jul 11 2021
Event32nd IEEE Intelligent Vehicles Symposium, IV 2021 - Nagoya, Japan
Duration: Jul 11 2021Jul 17 2021

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
Volume2021-July

Conference

Conference32nd IEEE Intelligent Vehicles Symposium, IV 2021
Country/TerritoryJapan
CityNagoya
Period7/11/217/17/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modeling and Simulation

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