Published September 2023 | Version v1
Conference paper Open

C-TAR: A Compositional Threat Analysis and Risk Assessment Method for Infrastructure-Based Autonomous Driving

  • 1. ROR icon Robert Bosch (Germany)
  • 2. ROR icon Grenoble Alpes University


Autonomous Vehicles rely heavily on their sensors’ information to navigate correctly. Autonomous driving requires the support of infrastructure-based systems to provide extra sensor information, which cannot be collected by vehicles.We expect that such infrastructure-based systems are typically not provided by the same manufacturer as the vehicle using them. In this paper, we propose a first of its kind, compositional threat analysis and risk assessment method, called C-TAR, and illustrate the method using a simplified example from an autonomous driving context. The proposed method extends a common threat and risk analysis method by statements of dependency on interfacing systems and provides a compatibility check of two systems working together. C-TAR allows the user to identify whether two independently developed systems can interact together securely based on the extended threat and risk analysis.



Files (1.8 MB)

Name Size Download all
1.8 MB Preview Download

Additional details


Hi-Drive – Addressing challenges toward the deployment of higher automation 101006664
European Commission