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

黑莓和滑铁卢大学(UW)的这一合作项目旨在开发新的方法和技术，以设计适用于自动车辆(AVs)和互联AVs(CAV)的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都短缺，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改进最先进的网络安全控制工程，以最大限度地将功能安全问题与这些担忧隔离开来，以应对AV/CAV网络安全威胁。该项目将给出动机良好和现实的网络安全威胁模型，提供AV/CAV控制设计问题的实用公式。它将对多个架构和技术解决方案方法进行比较评估，以便将有效且可隔离的网络安全工程到安全关键控制中。首先，我们将调查、识别、改进和比较各种可以应对网络攻击的控制方案和体系结构，特别是基于模型预测控制或MPC理论的方案和体系结构。我们将利用这一步骤的发现和结果，为AV/CAV开发一种新的安全、可靠和模块化的MPC设计技术，以应对除确定性不确定性和已知干扰之外的意外、极端和故意事件，如恶意网络攻击。我们将通过一个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/Cavs的网络安全和安全性，黑莓预计加拿大汽车制造商和设备供应商将开始在未来安全可靠的AV/Cavs和组件的生产中使用这些新的进步。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，包括通过一批有才华的HQP来领导未来的领导者，并增强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.