Simulation Framework of Misbehavior Detection and Mitigation for Collective Perception Services

Misbehavior detection which verifies the semantics of the V2X shared messages is a crucial research topic in Cooperative Intelligent Transport Systems (C-ITS). Misbehavior detection solutions aim to detect and identify the potential attackers which generate V2X messages with erroneous data. Providing efficient misbehavior detection solutions is even more challenging in the context of Cooperative Perception Services (CPS) in which communicating entities share their perception of the environment. This is because of the complexity of the attacks and the lack of the available experimental platforms that allow to evaluate and validate the misbehavior detection solutions. For these reasons, we propose a unified simulation framework to the research community that enables exploration and development of misbehavior detection and mitigation solutions as integrated parts of the CPS in various scenarios. We demonstrate the effectiveness of our framework in generating performance results and provide the corresponding datasets.