CRJun 24, 2019

MobilBye: Attacking ADAS with Camera Spoofing

arXiv:1906.09765v132 citations
Originality Incremental advance
AI Analysis

This work highlights a security vulnerability in ADAS that could lead to accidents, but it is incremental as it focuses on testing an existing system with new attack methods.

The researchers tested the robustness of Mobileye, a popular external ADAS, by injecting spoofed traffic signs using a drone-carried projector to assess the impact of environmental changes, and found it possible to fool Mobileye into interpreting the spoofed signs as real.

Advanced driver assistance systems (ADASs) were developed to reduce the number of car accidents by issuing driver alert or controlling the vehicle. In this paper, we tested the robustness of Mobileye, a popular external ADAS. We injected spoofed traffic signs into Mobileye to assess the influence of environmental changes (e.g., changes in color, shape, projection speed, diameter and ambient light) on the outcome of an attack. To conduct this experiment in a realistic scenario, we used a drone to carry a portable projector which projected the spoofed traffic sign on a driving car. Our experiments show that it is possible to fool Mobileye so that it interprets the drone carried spoofed traffic sign as a real traffic sign.

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