课题基金 / 基金详情

Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design.

Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design.
协作研究:CPS:中:及时性与可信度:在时间敏感的 CPS 设计中平衡可预测性和安全性。
批准号:
2038727
负责人:
Cong Liu
金额:
$23.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-02-01 至 2022-06-30

项目摘要

项目成果

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中文摘要
翻译
许多网络物理系统(CP)都有实时(RT)要求。对于这些RT-CP,例如将包裹递送到客户家中的无人驾驶飞行器网络或在心脏手术中执行/辅助操作的机器人,错过最后期限可能会导致经济损失,甚至是致命的后果。同时,由于这些RT-CP与人类交互并依赖于人类,它们也必须是值得信任的。这项研究的目标是为国防、医药、交通、制造和农业等关键应用领域设计更简单、更容易分析和可靠的安全RT-CP。由于RT-CPS现在渗透到我们日常生活的大多数方面,特别是在智能城市和物联网(IoT)的背景下,这项研究将提高用户对自动化系统的信心。研究结果将传播给学术界和产业界,并允许及时采用,因为这项研究所需的硬件已经公开提供。这个项目将产生一批精通安全RT-CP的跨学科性质的工程师和计算机科学家,以及为所有工程学科的本科生提供的课程模块和红团队练习,以及为华盛顿特区、底特律、达拉斯和圣路易斯的K-12学生提供的互动学习模块和实习经验。本研究的目标是从头开始设计安全的RT-CP,同时明确考虑所述RT-CP在运行时的物理动力学,以通过预防和检测攻击并从攻击中恢复来实现弹性。这将通过以下方式实现:(1)从头开始确保调度基础设施的安全;(2)使用一个正式的框架,在考虑系统动态的同时权衡安全与及时性,并明确量化安全成本;(3)执行依赖于状态和功能的按需恢复。表示RT-CPS将能够使用移动目标防御主动阻止攻击,以及检测和恢复无法避免的攻击。这项研究将为RT-CPS和物联网(IoT)的自信实施铺平道路:它们的及时和正确运行得到保证。这项研究的具体贡献是:(I)可信调度基础设施,它可以保护实时任务、调度器、其任务队列和I/O的完整性,并且可以从(故意)错误中恢复;(Ii)利用可信执行来保护实时任务的安全性的概率实时/安全协同设计框架;(Iii)新颖的可调度性分析技术;(Iv)用于连续操作的增量恢复机制;以及(V)在自动化地面车辆、无人机和机械臂上的验证。扩大知识库的贡献将在CPS、物联网、实时系统、安全和控制系统等领域做出贡献。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Many cyber-physical systems (CPS) have real-time (RT) requirements. For these RT-CPS, such as a network of unmanned aerial vehicles that deliver packages to customers’ homes or a robot that performs/aides in cardiac surgery, deadline misses may result in economic losses or even fatal consequences. At the same time, as these RT-CPS interact with, and are depended on by, humans, they must also be trustworthy. The goal of this research is to design secure RT-CPS that are less complex, easier to analyze, and reliable for critical application domains such as defense, medicine, transportation, manufacturing, and agriculture, to name just a few. Since RT-CPS now permeate most aspects of our daily lives, especially in the smart city and internet-of-things (IoT) context, this research will improve confidence in automated systems by users. Research results will be disseminated to both academia and industry, and permit timely adoption since the hardware required in this research is already publicly available. This project will result in a pipeline of engineers and computer scientists who are well-versed in the interdisciplinary nature of securing RT-CPS, as well as course modules and red-teaming exercises for undergraduate students in all engineering disciplines and interactive learning modules and internship experience for K-12 students in D.C., Detroit, Dallas, and St. Louis.The goal of this research is to design secure RT-CPS from the ground up while explicitly accounting for physical dynamics of said RT-CPS at runtime to achieve resilience via prevention and detection of, and recovery from, attacks. This will be accomplished by (i) securing the scheduling infrastructure from the ground up, (ii) using a formal framework for trading off security against timeliness while accounting for system dynamics, and for the cost of security to be explicitly quantified, and (iii) performing state- and function-dependent on-demand recovery. Said RT-CPS will be able to proactively prevent attacks using moving target defenses, as well as detect and recover from attacks that cannot be avoided. This research will pave the way for RT-CPS and internet-of-things (IoT) to be implemented with confidence: their timely and correct operation guaranteed. Specific contributions of this research are: (i) a trusted scheduling infrastructure that can protect the integrity of the real-time tasks, the scheduler, its task queues, and I/O, and which can recover from (intentional) errors, (ii) a probabilistic real-time/security co-design framework that exploits trusted execution to protect the security of the real-time tasks, (iii) novel schedulability analysis techniques, (iv) an incremental recovery mechanism for continuous operation, and (v) validation on automated ground vehicles, drones, and robot arms. Contributions expanding the knowledge base will be made to the fields of CPS, IoT, real-time systems, security, and control systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference
深度部分更新:实现设备端推理的通信高效更新
DOI: --
发表时间: 2022
期刊: ECCV
影响因子: --
作者: [Zhongnan Qu1, Cong Liu2]
通讯作者: Zhongnan Qu1, Cong Liu2
Collaborative Research: CSR: Medium: MemDrive: Memory-Driven Full-Stack Collaboration for Autonomous Embedded Systems
  • 批准号:
    2312397
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $33.3万
  • 财政年份:
    2023
  • 负责人:
    Cong Liu
  • 依托单位:
RUI: Relationship crafting after workplace ostracism in racial minority employees: The role of autonomic arousal, emotions, and cognitive attributions
  • 批准号:
    2243983
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2023
  • 负责人:
    Cong Liu
  • 依托单位:
CNS Core: Small: Towards Timing-Predictable Autonomy in DNN-driven Embedded Systems
  • 批准号:
    2300525
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.4万
  • 财政年份:
    2022
  • 负责人:
    Cong Liu
  • 依托单位:
CAREER: D3: Addressing Emerging Data-Induced Challenges in Embedded and Real-Time Systems
  • 批准号:
    2230968
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $53.84万
  • 财政年份:
    2022
  • 负责人:
    Cong Liu
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)