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Communication Dans Un Congrès Année : 2023

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

Résumé

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.
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Dates et versions

hal-04258335 , version 1 (25-10-2023)

Identifiants

  • HAL Id : hal-04258335 , version 1

Citer

Mohamed Abdelsalam, Simon Greiner, Oum-El-Kheir Aktouf, Annabelle Mercier. C-TAR: A Compositional Threat Analysis and Risk Assessment Method for Infrastructure-Based Autonomous Driving. ADIoT 2023 : The 6th International Workshop on Attacks and Defenses for Internet-of-Things, Sep 2023, The Hague, Netherlands. ⟨hal-04258335⟩

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