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

A Sliding-Mode Observer Approach

Conference paper (2021)

Authors

T. Keijzer Team Riccardo Ferrari - Mechanical, Maritime and Materials Engineering
Riccardo M.G. Ferrari Team Riccardo Ferrari - Mechanical, Maritime and Materials Engineering
Research Group
Team Riccardo Ferrari (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2021 T. Keijzer, Riccardo M.G. Ferrari
DOI
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https://doi.org/10.23919/ECC54610.2021.9654903
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Riccardo Ferrari

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.