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: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739249
• 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，信号处理和控制的进步已经产生了在涉及网络和物理系统的各种应用中采用的新一代高度网络和传感器和执行器富富的系统的新一代发展的兴趣。这些复杂和分布式的系统现在需要开发新颖的计算，通信，信号处理和控制技术，这些技术最终被设想带来更安全，更可靠，更可靠，更安全，更美好的世界。由于软件和网络工程技术方面的重大突破，嵌入式系统越来越多地被用于从下一代运输和航空航天系统到工业自动化系统，到智能电网，以及广泛地与所谓的网络物理系统（CPS）交谈。 所设想的CP比以往任何时候都更需要开发新颖和主动的网络保护以及弹性的恢复控制技术，因为这些系统不断受到恶意攻击和智能对手的侵犯的针对性。我们在这项研究中的总体目标是开发正式和理论框架，以设计攻击和故障诊断的最佳整合以及关键CP的可生存和弹性控制恢复方法，并具体强调了无人驾驶汽车和多机构自主系统（ANUMV/MAAS）的自主网络的应用。 该研究计划的主要目的是开发和实施新的方法和方案，这些方法和方案将确保在同时存在恶意攻击以及机器引起的故障的情况下可靠，安全地运行网络物理Anumv/MAAS。将研究无缝整合攻击入侵和断层诊断并保证保护，可生存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性方法，这些方法的特征是其独特的能力和特征，是下一代24/7可用分布式分布式战略ANUMV/MAAS系统的组成部分。 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可以直接被目标的Anumv/MAA直接使用的解决方案和技术，或适应其他CPS利益相关者，例如智能电网，智能城市，物联网（IoT）和医疗保健系统等领域。