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

计算、通信、信号处理和控制方面的进步已经产生了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，这些系统在涉及网络和物理系统的各种应用中使用。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，最终设想导致一个更安全，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，嵌入式系统越来越多地被用于下一代交通和航空航天系统，工业自动化系统，智能电网，以及广义上的网络物理系统（CPS）。 所设想的CPS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对手恶意攻击和入侵的目标。我们在这项研究中的总体目标是开发正式的和理论框架的设计的最佳集成的攻击和故障诊断和生存和弹性控制恢复方法的关键CPS，特别强调应用于自主网络的无人驾驶车辆和多智能体自主系统（ANUMV/MAAS）。 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起的故障的情况下可靠和安全地运行。创新的方法，无缝集成攻击入侵和故障诊断和保证保护，生存和弹性控制恢复将被调查。因此，主要的研究目标是同时设计和开发主动入侵攻击/故障监控和弹性控制可重构性方法，其特征在于其独特的能力和功能，是下一代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许多倍，其形式可能是：（a）最终为加拿大主要的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度、保证、接受度、信心、生存能力，以及在关键战略基础设施系统受到对手攻击和入侵时恢复其运营，以及（B）经过验证和演示的概念验证解决方案和技术，可直接用于目标ANUMV/MAAS或适用于智能电网、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。

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.