Secure Privacy-Preserving V2V Communication in 5G-V2X Supporting Network Slicing

Hyeran Mun, Minhye Seo, Dong Hoon Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


As autonomous driving technology continues to develop, communication for vehicles is becoming more important to provide an efficient and secure driving environment. Currently, vehicle-to-everything (V2X) based on fifth-generation (5G) is the only solution to meet the demanding requirements of self-driving cars in terms of ultra-low latency and ultra-high reliable connectivity under high mobility conditions, earning this technology more attention. Secure communication for vehicle-to-vehicle based on 5G (5G-V2V) is essential because vehicles decide how to maneuver and perceive situations based on the data exchanged. In this paper, we not only propose a new architecture for V2X based on 5G (5G-V2X) by utilizing network slicing (NS) to guarantee different features of V2X services but also analyze security requirements according to V2X service type. We also propose a secure V2V communication scheme based on 5G that satisfies these requirements. The security evaluation demonstrates that our scheme is secure against attacks on a V2V environment via both security proof and verification tool ProVerif. Through the performance evaluation, we prove that our scheme is more effective than the existing schemes while meeting end-to-end delay requirements for autonomous driving.

Original languageEnglish
Pages (from-to)14439-14455
Number of pages17
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number9
Publication statusPublished - 2022 Sept 1

Bibliographical note

Funding Information:
This work was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport under Grant 21TLRP-B152761-03.

Publisher Copyright:
© 2000-2011 IEEE.


  • 5G
  • C-V2X
  • Cellular vehicle communication
  • security

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


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