The paper introduces a verification-orchestration algorithm and process mining on ARH hypertraces to enable scalable security analysis of automotive network protocols and attribute violations to specific component compromises.
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Semi-structured interviews with 18 participants identify both shared and group-specific factors shaping privacy preferences of vehicle owners versus non-owners in smart cabins.
A literature review and industry survey on SDV security and privacy produces a framework for addressing mixed-criticality systems, layered defenses, privacy techniques, and harmonized vehicle-cloud protections.
citing papers explorer
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Process-Mining of Hypertraces: Enabling Scalable Formal Security Verification of (Automotive) Network Architectures
The paper introduces a verification-orchestration algorithm and process mining on ARH hypertraces to enable scalable security analysis of automotive network protocols and attribute violations to specific component compromises.
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Privacy Perceptions in Sensor-Powered Smart Vehicle Cabins
Semi-structured interviews with 18 participants identify both shared and group-specific factors shaping privacy preferences of vehicle owners versus non-owners in smart cabins.
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Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives
A literature review and industry survey on SDV security and privacy produces a framework for addressing mixed-criticality systems, layered defenses, privacy techniques, and harmonized vehicle-cloud protections.