Modular Control System Design for Cybersecurity Enhancement of Connected and Automated Vehicles

黑莓和滑铁卢大学（UW）之间的这个合作项目旨在开发新的方法和技术，以设计适合自动驾驶汽车（AVs）和联网自动驾驶汽车（cav）实际应用的网络安全关键控制系统。传统上，在汽车工程领域，AV/CAV控制系统的开发没有直接考虑网络安全。鉴于安全关键系统工程和网络安全方面的专业知识供不应求，同时需要安全和安全工程方面的人才将加剧挑战。我们将通过实用技术提高网络安全控制工程的先进水平，以最大限度地将功能安全问题与这些问题隔离开来，从而应对AV/CAV网络安全威胁。该项目将提供AV/CAV控制设计问题的实用公式，给出动机良好且现实的网络安全威胁模型。它将对多种架构和技术解决方案进行比较评估，以便将有效和可隔离的网络安全纳入安全关键控制。首先，我们将调查、识别、推进和比较各种可以处理网络攻击的控制方案和架构，特别是那些基于模型预测控制或MPC理论的方案和架构。我们将利用这一步的发现和结果，为AV/ cav开发一种新颖、安全、模块化的MPC设计技术，以应对意外、极端和故意的事件，如恶意网络攻击，以及确定性的不确定性和已知的干扰。我们将通过AV/CAV控制设计案例研究来证明新技术的有效性。该项目将提供创新，以提高AV/ cav的网络安全和安全性，黑莓希望加拿大汽车制造商和设备供应商开始在生产未来安全可靠的AV/ cav和组件时使用这些新进展。该项目将帮助加拿大确保关键基础设施的安全，建立网络安全和AV/CAV的领导地位，包括通过有才华的HQP建立未来的领导者，并提高我们行业在全球舞台上的竞争力。

This collaborative project between BlackBerry and the University of Waterloo (UW) aims to develop novel methods and technologies to engineer cybersecure safety-critical control systems suitable for practical application in Automated Vehicles (AVs) and Connected AVs (CAVs). Traditionally, in the automotive engineering field, AV/CAV control systems are developed without direct consideration of cybersecurity. Given that expertise in each of safety-critical systems engineering and cybersecurity are in short supply, requiring talent in both safety and security engineering together would exacerbate the challenges. We will improve the state-of-the-art for cybersecure controls engineering through practical technologies to counter AV/CAV cybersecurity threats in a way that maximally isolates functional safety issues from these concerns. The project will deliver a practical formulation of the AV/CAV control design problem, given well-motivated and realistic cybersecurity threat models. It will generate a comparative assessment of multiple architectures, and technical solution approaches for engineering effective and isolatable cybersecurity into safety-critical controls. First, we will survey, identify, advance, and compare various control schemes and architectures that can deal with cyberattacks, particularly those based on model predictive control or MPC theory. We will use the findings and results from this step to develop a novel safe, secure and modular MPC design technique for AV/CAVs to counter unexpected, extreme, and intentional events like malicious cyberattacks, in addition to deterministic uncertainties and known disturbances. We will demonstrate the effectiveness of the new technique with an AV/CAV control design case study. This project will deliver innovations to improve cybersecurity and safety in AV/CAVs and BlackBerry expects Canadian vehicle manufacturers and equipment suppliers to begin using these new advancements in the production of future safe and secure AV/CAVs and components. This project will help Canada secure critical infrastructure, build cybersecurity and AV/CAV leadership, including future leaders through a pool of talented HQP, and enhance the competitiveness of our industries on the global stage.