SELFY partners Enes Beğeçarslan and Burcu Özbay from FEV Turkey presented the project’s Situational Assessment Module for improving Cooperative, Connected, and Automated Mobility (CCAM) ecosystems at 8th Cyber Security in Networking Conference (CSNet 2024). The event, held in Paris (France) on December 4-6, focused on this edition on Artificial Intelligence (AI) for Cybersecurity.
FEV Turkey partners presented a paper on SELFY’s Situational Assessment Module for CCAM Applications during a session titled “Machine Learning and AI for Cybersecurity”. The tool, part of SELFY toolbox, uses AI to compare data from vehicle sensors and Roadside Units (RSUs) with internal vehicle messages. This allows the system to detect anomalies and assess risk levels. For instance, the tool can detect several anomalies, including GNSS loss-spoofing, RSU-vehicle mismatches, and lateral and longitudinal motion anomalies.
By employing these AI models, the situational assessment module enhances situational awareness by promptly identifying and addressing potential anomalies, thus contributing to safer and more reliable connected cooperative and autonomous mobility systems.
Within the SELFY framework, FEV focuses on integrating advanced AI and cybersecurity solutions within the CCAM ecosystem. It establishes a robust system architecture by defining roles, allocating requirements, and ensuring seamless integration of system components.
Additionally, FEV has established the requirements for the SELFY toolbox solution and designed measures to secure communication paths against cyber threats, safeguarding integrity, confidentiality, and authenticity, while implementing countermeasures to mitigate tampering and hazardous incidents.
The CSNet has established itself as a key event on cybersecurity, bringing together future visions for creating even greater value to all corners of the cybersecurity research society. This year, CSNet 2024 focused on AI applications in emerging networks and systems. This encompasses addressing the Challenges and Opportunities of AI to reinforce security and privacy in Next-Generation Technologies.
