Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles

A Sliding-Mode Observer Approach

Conference Paper (2021)
Author(s)

Twan Keijzer (TU Delft - Team Riccardo Ferrari)

Riccardo Ferrari (TU Delft - Team Riccardo Ferrari)

Research Group
Team Riccardo Ferrari
Copyright
© 2021 T. Keijzer, Riccardo M.G. Ferrari
DOI related publication
https://doi.org/10.23919/ECC54610.2021.9654903
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 T. Keijzer, Riccardo M.G. Ferrari
Research Group
Team Riccardo Ferrari
Pages (from-to)
515-520
ISBN (print)
978-1-6654-7945-5
ISBN (electronic)
978-9-4638-4236-5
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Platoons of autonomous vehicles are being investigated as a way to increase road capacity and fuel efficiency. Cooperative Adaptive Cruise Control (CACC) is an approach to achieve such platoons, in which vehicles collaborate using wireless communication. While this collaboration improves performance, it also makes the vehicles vulnerable to cyberattacks. In this paper the performance of a sliding mode observer (SMO) based approach to cyber-attack detection is analysed, considering simultaneous attacks on the communication and local sensors. To this end, the considered cyber-attacks are divided into three classes for which relevant theoretical properties are proven. Furthermore, the harm that attacks within each of these classes can do to the system while avoiding detection is analysed based on simulation examples.

Files

Detection_of_Network_and_Senso... (pdf)
(pdf | 2.46 Mb)
- Embargo expired in 03-07-2022
License info not available