Detection and Mitigation of Cyber-Physical Attacks on Future Autonomous Robotic Vehicle Systems

对未来自主机器人车辆系统的网络物理攻击的检测和缓解

• 批准号: 543535-2019
• 负责人: AlJanaideh, Mohammad
• 金额: $ 1.82万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680448
• 关键词: Detection; Mitigation; Cyber; Physical; Attacks

Cyber-physical Mechatronic Systems (CPMS) are complex systems that integrate sensors, communication networks, actuators, and control schemes with conventional physical systems. Integration of sensory and cyber-enabled control into traditional physical systems greatly enhances operation and resilience by facilitating situational awareness, distributed algorithms and control. One of the most well-known CPMS is the Connected Autonomous Vehicle Network. As these systems grow in complexity, their reliable operation requires control systems that are responsive to advanced cyber-threats. From the cyber perspective, securing the automated vehicles from malicious cyber-attacks is still a challenge. As such, this Engage proposal, through a collaboration between the PI's research group at the Memorial University and Quanser aims to develop an experimental study for the teaching and research purposes that: (i) simulate the main challenges of the future Connected Autonomous Vehicle Networks CAV through Autonomous Vehicles Research Studio (AVRS), and (ii) develop new health monitoring technique and a control system that can mitigate the cyber-physical attacks on actuators and sensors of the AVRS.

信息物理机电系统 (CPMS) 是将传感器、通信网络、执行器和控制方案与传统物理系统集成在一起的复杂系统。将传感和网络控制集成到传统物理系统中，通过促进态势感知、分布式算法和控制，极大地增强了操作和弹性。最著名的 CPMS 之一是互联自动驾驶汽车网络。随着这些系统变得越来越复杂，它们的可靠运行需要能够响应高级网络威胁的控制系统。从网络角度来看，保护自动驾驶汽车免受恶意网络攻击仍然是一个挑战。因此，这项 Engage 提案通过纪念大学 PI 研究小组和 Quanser 之间的合作，旨在开展一项用于教学和研究目的的实验研究：(i) 模拟未来互联自动驾驶汽车网络 CAV 的主要挑战通过自动驾驶车辆研究工作室（AVRS），以及（ii）开发新的健康监测技术和控制系统，以减轻对 AVRS 执行器和传感器的网络物理攻击。