Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: A Sliding-Mode Observer Approach

Twan Keijzer, Riccardo M.G. Ferrari

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
32 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the European Control Conference (ECC 2021)
PublisherIEEE
Pages515-520
ISBN (Electronic)978-9-4638-4236-5
ISBN (Print)978-1-6654-7945-5
DOIs
Publication statusPublished - 2021
Event2021 European Control Conference (ECC) - Virtual , Netherlands
Duration: 29 Jun 20212 Jul 2021

Publication series

Name2021 European Control Conference, ECC 2021

Conference

Conference2021 European Control Conference (ECC)
Country/TerritoryNetherlands
CityVirtual
Period29/06/212/07/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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