Workshop on Control and Cybersecurity in Connected and Autonomous Vehicles


Nowadays, vehicles are becoming safer, smarter, and “greener” through connectivity, Artificial Intelligence (AI), and Machine Learning (ML), while cybersecurity aims for more sustainable safer roads with zero fatality. This is recognized by the European Commission that has awarded a number of projects through the European Connected, Cooperative & Automated Mobility (CCAM) partnership. For instance, the H2020 CARAMEL project developed advanced control and cybersecurity solutions for the new generation of vehicles including (i) autonomous cars, (ii) 5G connected vehicles (iii) electromobility and (iv) remote control vehicles. The project applied a proactive method based on AI and ML techniques to mitigate cybersecurity-originated safety risks on roads. Considering the entire supply chain, CARAMEL developed innovative anti-hacking intrusion detection/ prevention systems for the European automotive industry. In addition, enabling technologies and ML/AI-based techniques were developed to detect and mitigate cyber threats to future mobility, in particular, an innovative distributed PKI infrastructure, AI-based context-rich and context-aware solutions, holistic solutions based on the fusion of multiple data sources, and a backend system to support mobility actors like road infrastructure operators, traffic managers, etc. This workshop aspires to disseminate the latest R&I results regarding control and cybersecurity in Connected and Autonomous Vehicles stemming from the CARAMEL and other related EU-funded projects and trigger inspiring discussions among researchers, experts, and practitioners in this field.

Date: Thursday, June 29, 2023


– Taesang Choi, Electronics and Telecommunications Research Institute (ETRI)
– You-Jun Choi, Korea Automotive Technology Institute (KATECH)

Workshop Program

– 14:00 – 14:20: Remote control vehicle based on mmWave and its standardization issues – You-Jun Choi, Korea Automotive Technology Institute, Korea

– 14:20 – 14:40: ML approach for detection and prediction of cyber attacks in remote controlled vehicle – Taesang Choi, Electronics Telecommunications Research Institute, Korea

– 14:40 – 15:00: Detecting location attacks in cooperative vehicular networks – Nikos Piperigkos, University of Patras, Greece

– 15:00 – 15:20: Data-driven approaches for detecting location spoofing attacks in autonomous vehicles – Stylianos Filippou, KIOS Center of Excellence, University of Cyprus, Cyprus

– 15:20 – 15:40: RIS-enabled V2X Communications in CCAM: Challenges and Cybersecurity Perspective – Antonios Lalas, CERTH/ITI, Greece

– 15:40 – 16:00: AI-powered Cybersecurity Framework over Cloud-native 5G Core Networks – Antonios Lalas, CERTH/ITI, Greece

– 16:00 – 16:20: Discussion during coffee break