A comprehensive solution for securing connected and autonomous vehicles

Kamal, Mohsin; Kyrkou, Christos; Piperigkos, Nikos; Papandreou, Andreas; Kloukiniotis, Andreas; Casademont Serra, Jordi; Porras, Natalia; Baños, Daniel; Diaz, Rodrigo; Durante, Nicola Gregorio; Hofmann, Klaus Peter; Kapsalas, Petros; Lalos, Aris; Moustakas, Konstantinos; Laoudias, Christos; Theocharides, Theocharides; Ellinas, Georgios

doi:10.23919/DATE54114.2022.9774594

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Document typeConference report

Defense date2022

PublisherInstitute of Electrical and Electronics Engineers (IEEE)

Rights accessRestricted access - publisher's policy

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

ProjectRED MALLADA IOT CON RADIO DE BAJA POTENCIA (AEI-PID2019-106808RA-I00)
CARAMEL - Artificial Intelligence based cybersecurity for connected and automated vehicles (EC-H2020-833611)

Abstract

With the advent of Connected and Autonomous Vehicles (CAVs) comes the very real risk that these vehicles will be exposed to cyber-attacks by exploiting various vulnerabilities. This paper gives a technical overview of the H2020 CARAMEL project (currently in the intermediate stage) in which Artificial Intelligent (AI)-based cybersecurity for CAVs is the main goal. Most of the possible scenarios are considered, by which an adversary can generate attacks on CAVs, such as attacks on camera sensors, GPS location, Vehicle to Everything (V2X) message transmission, the vehicle’s On-Board Unit (OBU), etc. The counter-measures to these attacks and vulnerabilities are presented via the current results in the CARAMEL project achieved by implementing the designed security algorithms.

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© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

CitationKamal, M. [et al.]. A comprehensive solution for securing connected and autonomous vehicles. A: Design, Automation and Test in Europe Conference and Exhibition. "2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022): online virtual platform: March 14-23, 2022: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 790-795. ISBN 978-3-9819263-6-1. DOI 10.23919/DATE54114.2022.9774594.

URIhttp://hdl.handle.net/2117/374729

DOI10.23919/DATE54114.2022.9774594

ISBN978-3-9819263-6-1

Publisher versionhttps://ieeexplore.ieee.org/document/9774594

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