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Optimizing RSU Placements for Securing Vehicle Platoon Against False Data Injection Attacks

Published:09 May 2023Publication History

ABSTRACT

Vehicle platooning has emerged as one of the leading applications of Intelligent Transportation Systems (ITS) because of its motivation of enhancing road safety and traffic efficiency. However, by exploiting the vulnerabilities of platooning protocols, an attacker can launch various types of attacks. One possible solution can be placing Roadside Units (RSUs) along the highways as the root-of-trust to detect such attack attempts. However, installing RSUs frequently is not economical due to their deployment costs. In this work, we formulate a method to ensure the safety and performance of a platoon by installing a minimum number of RSUs. We also present a simulation result using Plexe to motivate the present work.

References

  1. A. Abdo et al. 2019. Application level attacks on Connected Vehicle Protocols.. In RAID.Google ScholarGoogle Scholar
  2. S. Ackels et al. 2021. A Survey of Modern Roadside Unit Deployment Research. In WAC. Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Adhikary et al. 2020. Skip to secure: Securing cyber-physical control loops with intentionally skipped executions. In CPSIOTSEC'20.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. I. Koley et al. 2022. A Framework for Evaluating Connected Vehicle Security against False Data Injection Attacks. In DSD. Google ScholarGoogle ScholarCross RefCross Ref
  5. M. Segata et al. 2014. Plexe: A platooning extension for Veins. In VNC'14. Google ScholarGoogle ScholarCross RefCross Ref

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  1. Optimizing RSU Placements for Securing Vehicle Platoon Against False Data Injection Attacks

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    • Published in

      cover image ACM Conferences
      ICCPS '23: Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)
      May 2023
      291 pages
      ISBN:9798400700361
      DOI:10.1145/3576841

      Copyright © 2023 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 9 May 2023

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