Improving trust in the V2X security credential system through misbehavior detection
A SUMO-based SILS (Software-in-the-Loop Simulation) designed to simulate complex traffic environments including vehicles, pedestrians, traffic lights, and personal mobility, enabling generation of V2X messages for large-scale end entities.
In particular, AI-based traffic models and message generation algorithms are applied so that generated V2X messages resemble messages observed in real road environments.
Precisely reproduces congestion situations and malicious device (Misbehavior OBU) scenarios, enabling effective testing and development of MBD (Misbehavior Detection) functions.
Lightweight on-device AI-based LMBD operating within the device
Misbehavior occurrence and detection (fail-safe example)