Chronos: Timing Interference as a New Attack Vector on Autonomous Cyber-physical Systems
Chronos: Timing Interference as a New Attack Vector on Autonomous Cyber-physical Systems
复制标题
Chronos：定时干扰作为自主网络物理系统的新攻击向量
DOI：
--
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Ning Zhang
中科院分区：
文献类型：
--
作者：
Ao Li;Jinwen Wang;Ning Zhang
在信息物理系统（CPS）中，时间属性因其与物理世界的交互而起着至关重要的作用。这些机器人系统的平稳运行往往依赖于对物理世界的准确和及时的感知与驱动。在本海报中，我们展示了一种独特的新型攻击——克洛诺斯（Chronos），它利用时间干扰导致信息物理系统的不稳定。通过在系统上利用一个被入侵的非特权非关键任务，我们对无人机和自动驾驶车辆平台发起时间干扰攻击。通过在端到端栈上进行开环和闭环测试，我们表明，在没有软件漏洞的情况下，时间攻击可能导致自动驾驶系统完全失控，使其撞向周围环境。为了进一步了解这种新型攻击向量，我们对这两个平台的定位组件进行了初步研究，因为它们都使用了著名的同时定位与地图构建（SLAM）算法，而该算法依赖于来自不同传感器的对时间敏感的多模态数据。基于案例研究的见解，我们提出了时间攻击面的公式，并强调了未来的研究方向。
Timing property plays a vital role in the Cyber-Physical System(CPS) due to its interaction with the physical world. The smooth operation of these robotic systems often relies on an accurate and timely perception and actuation of the physical world. In this poster, we demonstrated a unique new class of attack, Chronos, that exploits timing interference to cause system destabilization in cyber-physical systems. Using a compromised non-privileged non-critical task on the system, we launch timing interference attacks on both drone and autonomous vehicle platforms. Through both open-loop and close-loop testing on the end-to-end stack, we showed that the timing attack could lead to complete loss of control of the autonomous system, crashing them onto the surroundings when there is no software vulnerability. To further understand this novel attack vector, we perform preliminary investigations on the localization component of these two platforms, because they both make use of well-known simultaneous localization and mapping (SLAM) algorithms that depend on timing-sensitive multimodal data from different sensors. Building on the insights from the case study, we present our formulation of the timing attack surface and highlight future directions.
影响因子：
6.8
作者：
Mulong Luo;A. Myers;G. Suh
通讯作者：
Mulong Luo;A. Myers;G. Suh
立体视觉惯性 SLAM 系统的闭环基准测试：了解漂移和延迟对跟踪精度的影响
DOI：
10.1109/icra40945.2020.9197003
发表时间：
2020
期刊：
International Conference on Robotics and Automation
影响因子：
--
作者：
Zhao, Yipu;Smith, Justin S.;Karumanchi, Sambhu H.;Vela, Patricio A.
通讯作者：
Vela, Patricio A.