研究感知传感器推理延迟攻击对自动驾驶安全的影响。
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
- 通过仿真分析推理时间攻击对感知模块的影响
- 发现此类攻击可危及本车及其它交通参与者安全
- 为感知安全提供新视角，适合自动驾驶安全研究者
作为关键安全的网络物理系统，自动驾驶汽车（AV）的网络安全与安全问题一直是重要研究方向。在各类车载模块中，感知是较易受攻击的面，因驾驶员和车辆无法控制外部环境。现有针对自动驾驶感知安全的研究多聚焦于感知正确性。本文提出基于推理时间攻击的安全影响分析。在仿真系统中，我们证明此类攻击同样可能威胁本车及其他交通参与者的安全。
原文摘要 · Abstract (English)
As a safety-critical cyber-physical system, cybersecurity and related safety issues for Autonomous Vehicles (AVs) have been important research topics for a while. Among all the modules on AVs, perception is one of the most accessible attack surfaces, as drivers and AVs have no control over the outside environment. Most current work targeting perception security for AVs focuses on perception correctness. In this work, we propose an impact analysis based on inference time attacks for autonomous vehicles. We demonstrate in a simulation system that such inference time attacks can also threaten the safety of both the ego vehicle and other traffic participants.
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