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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3 Pith papers cite this work. Polarity classification is still indexing.
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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.
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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.