The Controller Area Network (CAN) is one of the standards used in internal vehicle communication. Its further development to CAN with Flexible Data Rate (CAN FD) and CAN Extra Long (CAN XL) will secure this position in future cars. The high vulnerability makes this network a popular target for cyber attacks and the protection an ongoing challenge in research. Intrusion detection or prevention systems (IDS/IPS) require data for model building and evaluation. By now only one publicly available data set for CAN FD exists and for CAN XL not a single one. The presented simulation framework is able to generate data for classic CAN as well as for CAN FD and CAN XL. To evaluate IDS/IPS for CAN FD, the generation of data including attacks is necessary and possible with the proposed framework. For both protocol versions, the simulation results are evaluated. In the case of CAN FD against the existing data set, including the attacks. The results show that the simulation is able to reflect the real data correctly. In the case of CAN XL the simulation is evaluated against the CAN XL specification. The result shows that the framework simulates the protocol correctly. Therefore, this framework is a first step to proof the design of new attacks and their countermeasures related to CAN FD and CAN XL.


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    Title :

    CAN Simulation Framework - From Classic CAN to CAN XL


    Contributors:


    Publication date :

    2023-09-24


    Size :

    1555798 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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