Since cameras have become a crucial part in many safety-critical systems and applications, such as autonomous vehicles and surveillance, a large body of academic and non-academic work has shown attacks against their main component - the image sensor. However, these attacks are limited to coarse-grained and often suspicious injections because light is used as an attack vector. Furthermore, due to the nature of optical attacks, they require the line-of-sight between the adversary and the target camera. In this paper, we present a novel post-transducer signal injection attack against CCD image sensors, as they are used in professional, scientific, and even military settings. We show how electromagnetic emanation can be used to manipulate the image information captured by a CCD image sensor with the granularity down to the brightness of individual pixels. We study the feasibility of our attack and then demonstrate its effects in the scenario of automatic barcode scanning. Our results indicate that the injected distortion can disrupt automated vision-based intelligent systems.
翻译:由于照相机已成为许多安全关键系统和应用,如自主车辆和监视系统及监视系统的关键部分,大量学术和非学术工作显示其主要组成部分(图像传感器)受到攻击,然而,这些攻击仅限于粗糙的、往往可疑的注射,因为光是用作攻击矢量。此外,由于光学攻击的性质,它们要求对手和目标相机之间的视线。在本文中,我们展示了对CCD图像传感器的新颖的传送后信号注射攻击,因为这些传感器用于专业、科学、甚至军事环境。我们展示了电磁电磁信号如何用来操纵CCD图像传感器所捕捉的图像信息,其颗粒性降到个别像素的亮度。我们研究了我们攻击的可行性,然后在自动条码扫描的情景中展示其效果。我们的结果表明,注射扭曲会破坏基于视觉的自动智能系统。