A Comprehensive Solution for Securing Connected and Autonomous Vehicles
Mohsin Kamal1, Christos Kyrkou1, Nikos Piperigkos2, Andreas Papandreou2, Andreas Kloukiniotis2, Jordi Casademont3, Natlia Porras Mateu4, Daniel Baos Castillo4, Rodrigo Diaz Rodriguez5, Nicola Gregorio Durante5, Peter Hofmann6, Petros Kapsalas7, Aris S. Lalos2,8, Konstantinos Moustakas2, Christos Laoudias1, Theocharis Theocharides1,9 and Georgios Ellinas1,9
1KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, 1678, Cyprus
2Department of Electrical and Computer Engineering, University of Patras, Greece
3Universitat Politecnica de Catalunya and Fundacio i2CAT, Barcelona, Spain
4Nextium by Idneo, Barcelona, Spain
5Atos IT Solutions and Services Iberia S.L., Madrid, Spain
6Deutsche Telekom Security GmbH, T-Systems, Berlin, Germany
7Panasonic Automotive, Langen, Germany
8Industrial Systems Institute, Athena Research Center, 26502, Platani, Patras, Greece
9Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, 1678, Cyprus
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 H2022 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 anadversary 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.
