Real-world testbed experiments demonstrate that protocol-compliant UDP flooding and oversized BSM attacks on C-V2X can reduce packet delivery ratios by up to 87%, increase latency beyond 400 ms, and completely suppress FCW alerts.
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An in-vehicle digital twin framework using temporal convolutional networks and hierarchical navigable small world algorithms detects Sybil attacks with 0.984 accuracy and reduces near-collision metrics by 72-88% on real-world field data.
citing papers explorer
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Real-World Evaluation of Protocol-Compliant Denial-of-Service Attacks on C-V2X-based Forward Collision Warning Systems
Real-world testbed experiments demonstrate that protocol-compliant UDP flooding and oversized BSM attacks on C-V2X can reduce packet delivery ratios by up to 87%, increase latency beyond 400 ms, and completely suppress FCW alerts.
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In-Vehicle Digital Twin-Based Collision Warning Framework with Sybil Attack Detection
An in-vehicle digital twin framework using temporal convolutional networks and hierarchical navigable small world algorithms detects Sybil attacks with 0.984 accuracy and reduces near-collision metrics by 72-88% on real-world field data.