Wiggle: Physical Challenge-Response Verification of Vehicle Platooning

Connor Dickey, Christopher Smith, Quentin Johnson, Jingcheng Li, Ziqi Xu, Loukas Lazos, Ming Li

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

2 Scopus citations

Abstract

In this work, we establish a physical access control mechanism for vehicular platoons. The goal is to restrict vehicle-to-vehicle (V2V) communications to platooning members by tying the digital identity of a candidate vehicle requesting to join a platoon to its physical trajectory relative to the platoon. We propose the Wiggle protocol that employs a physical challenge-response exchange to prove that a candidate requesting to be admitted into a platoon actually follows it. The protocol name is inspired by the random longitudinal movements that the candidate is challenged to execute. Wiggle prevents any remote adversary from joining the platoon and injecting fake V2V messages. Compared to prior works, Wiggle is resistant to prerecording attacks and can verify that the candidate is traveling behind the verifier in the same lane.

Original languageEnglish (US)
Title of host publication2023 International Conference on Computing, Networking and Communications, ICNC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-60
Number of pages7
ISBN (Electronic)9781665457194
DOIs
StatePublished - 2023
Event2023 International Conference on Computing, Networking and Communications, ICNC 2023 - Honolulu, United States
Duration: Feb 20 2023Feb 22 2023

Publication series

Name2023 International Conference on Computing, Networking and Communications, ICNC 2023

Conference

Conference2023 International Conference on Computing, Networking and Communications, ICNC 2023
Country/TerritoryUnited States
CityHonolulu
Period2/20/232/22/23

Keywords

  • Vehicular security
  • access control
  • authentication.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management

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