Cooperative Cyber Attack Protection, Fault Diagnosis, and Recovery Control of Autonomous Networked Unmanned Vehicles and Multi-Agent Cyber-Physical Systems (CPS)

自主网络化无人驾驶车辆和多智能体网络物理系统（CPS）的协同网络攻击防护、故障诊断和恢复控制

• 批准号: RGPIN-2019-06996
• 负责人: Khorasani, Khashayar
• 金额: $ 3.35万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752150
• 关键词: Cooperative; Cyber; Attack; Protection; Fault

Advances in computing, communications, signal processing, and control have generated a significant level of interest in development of new generation of highly networked and sensor and actuator rich systems employed in variety of applications that involve cyber and physical systems. These complex and distributed systems now necessitate development of novel computing, communicating, signal processing, and control technologies that are ultimately envisaged to lead to a safer, more reliable and securer and better world. Due to major breakthroughs in software and cyber engineering technologies, embedded systems are increasingly being utilized in areas ranging from the next generation transportation and aerospace systems, to industrial automation systems, to smart grids, and broadly speaking to what is known as Cyber-Physical Systems (CPS). The envisaged CPS do more than ever require development of novel and proactive cyber protection and resilient recovery control technologies, as these systems are continuously being targeted by malicious attacks and intrusions by intelligent adversaries. Our overall objective in this research is to develop formal and theoretical frameworks for design of optimal integration of both attack and fault diagnostics and survivable and resilient control recovery methodologies for critical CPS with specific emphasize on application to autonomous network of unmanned vehicles and multi-agent autonomous systems (ANUMV/MAAS). The main objective of this research program is on development and implementation of novel methodologies and schemes that will ensure cyber-physical ANUMV/MAAS operate reliably and safely in presence of simultaneous malicious attacks as well as machine induced faults. Innovative methodologies that seamlessly integrate both attack intrusion and fault diagnosis and guarantee protection, survivable and resilient control recovery will be investigated. The main research goals are therefore to simultaneously design and develop proactive intrusion attack/fault monitoring and resilient control reconfigurability methodologies that are characterized by their unique capabilities and features to be components of the next generation of 24/7 available distributed strategic ANUMV/MAAS systems. The rewards anticipated from this research do represent many times the initial investment that could be in the form of: (a) proposing and developing novel solutions ultimately for Canada's leading CPS companies to minimize the impact of security treats, and maximize trustworthiness, assurance, acceptance, confidence, survivability, and recovery of their operations subject to adversary attacks and intrusions in key strategic infrastructure systems, and (b) validated and demonstrated proof-of-concept solutions and technologies that could directly be used by targeted ANUMV/MAAS or be adapted to other CPS stakeholders in domains such as smart grids, smart cities, Internet of Things (IoT), and healthcare systems.

计算、通信、信号处理和控制方面的进步已经引起了人们对开发新一代高度网络化和传感器和致动器丰富的系统的极大兴趣，这些系统被用于涉及网络和物理系统的各种应用。这些复杂的分布式系统现在需要开发新的计算、通信、信号处理和控制技术，这些技术最终被设想为导致一个更安全、更可靠、更安全和更美好的世界。由于软件和网络工程技术的重大突破，嵌入式系统正越来越多地被用于从下一代交通和航空航天系统到工业自动化系统，到智能电网，以及广义上被称为网络物理系统(CPS)的领域。设想的CP比以往任何时候都更需要开发新颖和主动的网络保护和弹性恢复控制技术，因为这些系统不断成为智能攻击者的恶意攻击和入侵的目标。我们的总体目标是为关键控制系统的攻击和故障诊断的最优集成以及可生存和有弹性的控制恢复方法的设计建立形式化的理论框架，特别是在无人驾驶车辆和多智能体自主系统的自主网络(ANUMV/MAAS)中的应用。该研究计划的主要目标是开发和实施新的方法和方案，以确保网络物理ANUMV/MAAS在同时存在恶意攻击和机器引发故障的情况下可靠和安全地运行。将研究无缝集成攻击入侵和故障诊断并保证保护、可生存性和弹性控制恢复的创新方法。因此，主要的研究目标是同时设计和开发主动的入侵攻击/故障监测和弹性控制可重构方法，其特点是具有独特的能力和特征，成为下一代24/7可用的分布式战略ANUMV/MAAS系统的组成部分。这项研究的预期回报确实是初始投资的数倍，其形式可能是：(A)最终为加拿大领先的CPS公司提出和开发新的解决方案，以最大限度地减少安全措施的影响，并最大限度地提高可信性、保证、接受度、信心、生存性和恢复其在关键战略基础设施系统中受到对手攻击和入侵的运营，以及(B)经过验证和演示的概念验证解决方案和技术，这些解决方案和技术可直接由目标ANMV/MAAS使用，或可适用于智能电网、智能城市、物联网(IoT)和医疗保健系统等领域的其他CPS利益相关者。