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

Title:
CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks
Contributors:
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica, Universitat Politècnica de Catalunya. WNG - Grup de xarxes sense fils
Publication Year:
2021
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-021-01971-x; info:eu-repo/grantAgreement/MINECO/1PE/TEC2016-79988-P; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106808RA-I00/ES/RED MALLADA IOT CON RADIO DE BAJA POTENCIA/; Vitale, C. [et al.]. CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks. "Eurasip journal on wireless communication and networking", 4 Maig 2021, vol. 2021, núm. article 115.; http://hdl.handle.net/2117/359870
DOI:
10.1186/s13638-021-01971-x
Rights:
Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/ ; Open Access
Accession Number:
edsbas.206CF6CB
Database:
BASE

Weitere Informationen

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 ...