Detection of Cyber-Attacks in Collaborative Intersection Control

Conference Paper (2021)
Author(s)

Twan Keijzer (TU Delft - Team Riccardo Ferrari)

Fabian Jarmolowitz (Robert Bosch GmbH)

Riccardo M.G. Ferrari (TU Delft - Team Riccardo Ferrari)

Research Group
Team Riccardo Ferrari
Copyright
© 2021 T. Keijzer, Fabian Jarmolowitz, Riccardo M.G. Ferrari
DOI related publication
https://doi.org/10.23919/ECC54610.2021.9655088
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 T. Keijzer, Fabian Jarmolowitz, Riccardo M.G. Ferrari
Related content
Research Group
Team Riccardo Ferrari
Pages (from-to)
62-67
ISBN (print)
978-1-6654-7945-5
ISBN (electronic)
978-9-4638-4236-5
Reuse Rights

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Abstract

Road intersections are widely recognized as a lead cause for accidents and traffic delays. In a future scenario with a significant adoption of Cooperative Autonomous Vehicles, solutions based on fully automatic, signage-less Intersection Control would become viable. Such a solution, however, requires communication between vehicles and, possibly, the infrastructure over wireless networks. This increases the attack surface available to a malicious actor, which could lead to dangerous situations. In this paper, we address the safety of Intersection Control algorithms, and design a Sliding-Mode-Observer based solution capable of detecting and estimating false data injection attacks affecting vehicles’ communication. With respect to previous literature, a novel detection logic with improved detection performances is presented. Simulation results are provided to show the effectiveness of the proposed approach.

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