SELFY project partners Mischa Huisman and Carlos Murguia from the Dynamics & Control group at Eindhoven University of Technology (TUE) presented a study on controller realisations against false data injection at the 63rd IEEE Conference on Decision and Control (CDC 2024), a premier event in the field of systems and control. The conference, hold annually, brings together global experts to discuss the latest advancements in decision-making and control systems.
During a session dedicated to cybersecurity and resilience in cyber-physical systems, Huisman and Murguia introduced their paper, titled “Optimal Controller Realisations Against False Data Injections in Cooperative Driving.” The research tackles the mitigation of False-Data Injection (FDI) attacks, a critical challenge in Cooperative Connected Automated Mobility (CCAM).
The study focuses on enhancing the robustness of cooperative driving. By reformulating the Cooperative Adaptive Cruise Control scheme through coordinate transformations, the researchers developed a class of equivalent controllers to minimize vulnerability to FDI attacks. Through simulation studies, the proposed approach demonstrated its effectiveness in safeguarding CCAM systems without relying on detection schemes, preserving essential system properties and improving resilience against cyber threats.
Within the SELFY framework, TUE works in the development of four main technologies, including control, monitoring, and networking design tools to maximize robustness against cyberattacks. This research underscores SELFY’s commitment to developing secure and trustworthy solutions for automated mobility.
The IEEE Conference on Decision and Control is a flagship event that gathers researchers and practitioners from around the world to share insights and explore innovations in systems and control.
