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InfoResearchPeer-reviewed
Characterizing Network-Layer Vulnerabilities in LiDAR Subsystems of Autonomous Vehicles: A Mechanism-Aware Propagation Analysis
- Published
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Summary
This research presents a Cross-Layer LSS Vulnerability Characterization Framework for LiDAR subsystems in autonomous vehicles. It applies LiDAR Perception-Pipeline Mechanism Characterization (PMC) to Apollo V8.0's LiDAR perception pipeline, identifying Frame Partition, Object Erasure, and Object Mark as security-critical mechanisms. Validation on a controlled testbed and a real-AV platform shows failures depend on timing, frame-position alignment, frame assembly, and object-lifecycle behavior rather than generic sensor-data corruption alone.