Abstract: In-vehicle networks (IVNs) face growing threats from advanced cyber-attacks, particularly stealthy masquerade attacks that mimic legitimate message patterns. This paper proposes STATGRAPH, a ...
Abstract: Accurate estimation of ego vehicle speed is crucial for autonomous driving and advanced driver-assistance systems (ADAS). However, conventional front-facing radar-based speed estimation ...
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