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

Published: 09 May 2023 Publication 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.
[2]
S. Ackels et al. 2021. A Survey of Modern Roadside Unit Deployment Research. In WAC.
[3]
S. Adhikary et al. 2020. Skip to secure: Securing cyber-physical control loops with intentionally skipped executions. In CPSIOTSEC'20.
[4]
I. Koley et al. 2022. A Framework for Evaluating Connected Vehicle Security against False Data Injection Attacks. In DSD.
[5]
M. Segata et al. 2014. Plexe: A platooning extension for Veins. In VNC'14.

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

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    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
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 09 May 2023

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    • Short-paper

    Funding Sources

    • Ministry of Electronics and Information Technology, Government of India

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    ICCPS '23
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    Overall Acceptance Rate 25 of 91 submissions, 27%

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