Attack on Vehicular Platooning and Mitigation Strategy: A Survey

Sun Woo Lee; Sok Joon Lee; Dong Hoon Lee

doi:10.4028/www.scientific.net/AMM.865.423

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 865Attack on Vehicular Platooning and Mitigation...

Attack on Vehicular Platooning and Mitigation Strategy: A Survey

Abstract:

Through vehicular platooning, a group of autonomous vehicles move together under the same control law with maintaining constant inter-vehicle distance and velocity. Owing to many advantages in the aspect of economy, environment, and safety, platoon has been developed for AHS (Automated Highway System). But there is little study of platoon in adversarial environment. Since vehicle safety is directly related to a passenger’s life, the in-depth study of adversarial platooning is of crucial importance. In this paper, we present that an attacker in platoon can cause serious accident just by slightly modifying control law and also discuss the control system designed for mitigating the damage of accident caused by the attacker.

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Periodical:

Applied Mechanics and Materials (Volume 865)

Pages:

423-428

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.865.423

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Online since:

June 2017

Authors:

Sun Woo Lee*, Sok Joon Lee, Dong Hoon Lee

Keywords:

Adaptive Cruise Control, Attack, Autonomous Vehicle, Control System, Platoon, Security

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* - Corresponding Author

References

[1] K. Y. Liang, M. Jonas, H. J. Karl, Fuel-saving potentials of platooning evaluated through sparse heavy-duty vehicle position data, 2014 IEEE Intelligent Vehicles Symposium Proceedings. IEEE, (2014).

DOI: 10.1109/ivs.2014.6856540

Google Scholar

[2] W. Ren, G. David, Continuous platooning: a new evolutionary operating concept for automated highway systems. American Control Conference, 1994. Vol. 1. IEEE, (1994).

DOI: 10.1109/acc.1994.751685

Google Scholar

[3] Shladover, E. Steven, Path at 20-history and major milestones, IEEE Trans. Intell. Transport. Syst. 8(4) (2007) 584-592.

DOI: 10.1109/tits.2007.903052

Google Scholar

[4] Robinson, Tom, C. Eric, C. Erik, Operating platoons on public motorways: An introduction to the sartre platooning programme., 17th world congress on intelligent transport systems. Vol. 1. (2010).

Google Scholar

[5] Dadras, Soodeh, M. G. Ryan, S. Rajnikant, Vehicular platooning in an adversarial environment. Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security. ACM, (2015).

DOI: 10.1145/2714576.2714619

Google Scholar

[6] C. -T. Chen, Linear system theory and design, Oxford University Press, Inc., (1995).

Google Scholar

[7] Sajjad, Imran, et al. Attack Mitigation in Adversarial Platooning Using Detection-Based Sliding Mode Control. Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy. ACM, (2015).

DOI: 10.1145/2808705.2808713

Google Scholar

[8] P. A. Cook, Conditions for string stability, Syst. Contr. Lett. 54(10) (2005) 991-998.

Google Scholar