CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks

Autor: Petros Kapsalas, Rodrigo Diaz Rodriguez, Aris S. Lalos, Georgios Ellinas, Nikos Piperigkos, Gemma Roqueta Crusats, Christos Laoudias, Pouria Sayyad Khodashenas, Daniel Baños, Konstantinos Moustakas, Andreas Kloukiniotis, Josep Escrig, Klaus-Peter Hofmann, Jordi Casademont, Christian Vitale
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica, Universitat Politècnica de Catalunya. WNG - Grup de xarxes sense fils
Rok vydání: 2021
Předmět:
Spoofing attack
TK7800-8360
Exploit
Computer Networks and Communications
Computer science
0211 other engineering and technologies
TK5101-6720
02 engineering and technology
GPS spoofing attack
Computer security
computer.software_genre
GPS signals
Encryption
Connected autonomous vehicles
Signal processing--Digital techniques
0202 electrical engineering
electronic engineering
information engineering
Gps spoofing
Architecture
021103 operations research
business.industry
020206 networking & telecommunications
Public key infrastructure
Computer Science Applications
Assisted GPS
Signal Processing
Telecommunication
Attack on V2X communication
Secure architecture
Tractament del senyal--Tècniques digitals
Electronics
business
computer
Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions [Àrees temàtiques de la UPC]
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-28 (2021)
ISSN: 1687-1499
DOI: 10.1186/s13638-021-01971-x
Popis: The main goal of the H2020-CARAMEL project is to address the cybersecurity gaps introduced by the new technological domains adopted by modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques. As a result, CARAMEL enhances the protection against threats related to automated driving, smart charging of Electric Vehicles, and communication among vehicles or between vehicles and the roadside infrastructure. This work focuses on the latter and presents the CARAMEL architecture aiming at assessing the integrity of the information transmitted by vehicles, as well as at improving the security and privacy of communication for connected and autonomous driving. The proposed architecture includes: (1) multi-radio access technology capabilities, with simultaneous 802.11p and LTE-Uu support, enabled by the connectivity infrastructure; (2) a MEC platform, where, among others, algorithms for detecting attacks are implemented; (3) an intelligent On-Board Unit with anti-hacking features inside the vehicle; (4) a Public Key Infrastructure that validates in real-time the integrity of vehicle’s data transmissions. As an indicative application, the interaction between the entities of the CARAMEL architecture is showcased in case of a GPS spoofing attack scenario. Adopted attack detection techniques exploit robust in-vehicle and cooperative approaches that do not rely on encrypted GPS signals, but only on measurements available in the CARAMEL architecture. This work was supported by the European Union’s H2020 research and innovation programme under the CARAMEL project (Grant agreement No. 833611). The work of Christian Vitale, Christos Laoudias and Georgios Ellinas was also supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for European Programmes, Coordination, and Development. The work of Jordi Casademont and Pouria Sayyad Khodashenas was also supported by FEDER and Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya through projects Fem IoT and SGR 2017-00376 and by the ERDF
Databáze: OpenAIRE
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