Fault injection method for safety and controllability evaluation of automated driving

Advanced Driver Assistance Systems (ADAS) and automated vehicle applications based on embedded sensors have become a reality today. As road vehicles increase its autonomy and the driver shares his role in the control loop, novel challenges on their dependability assessment arise. One key issue is that the notion of controllability becomes more complex when validating the robustness of the automated vehicle in the presence of faults. This paper presents a simulation-based fault injection approach aimed at finding acceptable controllability properties for the model-based design of control systems. We focus on determining the best fault models inserting exceptional conditions to accelerate the identification of specific areas for testing. In our work we performed fault injection method to find the most appropriate safety concepts, controllability properties and fault handling strategies at early design phases of lateral control functions based on the error in the Differential GPS signal.Authors wants to thank to the H2020 UnCoVerCPS Project (with grant number 643921) and the ECSEL JU AMASS project under H2020 grant agreement No 692474 and from MINETUR (Spain)

36 Retos de ciberseguridad en automoción. Cifrando el bus CAN

Se pretende profundizar en las necesidades de ciberseguridad en las comunicaciones intra-vehiculares. La tecnología de los vehículos conectados es tendencia, y más recientemente con la entrada de la tecnología 5G para comunicar los vehículos. Se viene innovando en la protección de las nuevas redes de comunicación entre vehículos, no obstante, este no son el único punto vulnerable de los vehículos. La principal red de comunicación interna de los sistemas críticos del vehículo, la conocida como Controller Area Network (CAN) se ha visto vulnerada en distintos ataques- Este documento recoge las vulnerabilidades del bus CAN y la aplicación de técnicas de cifrado para obtener autenticidad e integridad de los datos