Vehicles have become complex computer systems with multiple communication interfaces. In the future, vehicles will have even more connections to e.g., infrastructure, pedestrian smartphones, cloud, road-side-units and the Internet. External and physical interfaces, as well as internal communication buses have shown to have potential to be exploited for attack purposes. As a consequence, there is an increase in regulations which demand compliance with vehicle cyber resilience requirements. However, there is currently no clear guidance on how to comply with these regulations from a technical perspective.To address this issue, we have performed a comprehensive threat and risk analysis based on published attacks against vehicles from the past 10 years, from which we further derive necessary security and resilience techniques. The work is done using the SPMT methodology where we identify vital vehicle assets, threat actors, their motivations and objectives, and develop a comprehensive threat model. Moreover, we develop a comprehensive attack model by analyzing the identified threats and attacks. These attacks are filtered and categorized based on attack type, probability, and consequence criteria. Additionally, we perform an exhaustive mapping between asset, attack, threat actor, threat category, and required mitigation mechanism for each attack, resulting in a presentation of a secure and resilient vehicle design. Ultimately, we present the Resilient Shield a novel and imperative framework to justify and ensure security and resilience within the automotive domain.


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    Titel :

    Resilient Shield: Reinforcing the Resilience of Vehicles Against Security Threats


    Beteiligte:
    Strandberg, Kim (Autor:in) / Rosenstatter, Thomas (Autor:in) / Jolak, Rodi (Autor:in) / Nowdehi, Nasser (Autor:in) / Olovsson, Tomas (Autor:in)


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    3117211 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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