Risk analysis for forecasting cyberattacks against connected and autonomous vehicles

Abstract A security risk analysis was conducted to identify possible cyberattacks against a future transport system consisting of autonomous and connected vehicles. Six scenarios were developed: joyriding, kidnapping, domestic abuse, autopilot manipulation, large accident, paralysis the system. Even if it increase difficulty conducting such cyberattacks, might be impossible eliminate attacks entirely. Measures that limit consequences will therefore necessary. Such measures include safety in vehicles protect their occupants traffic accidents make easier remove case they do not function.