Collaborative Research: Implementation: Medium: Secure, Resilient Cyber-Physical Energy System Workforce Pathways via Data-Centric, Hardware-in-the-Loop Training

协作研究：实施：中：通过以数据为中心的硬件在环培训实现安全、有弹性的网络物理能源系统劳动力路径

• 批准号: 2320973
• 负责人: Zhuo Lu
• 金额: $ 38.5万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320973&HistoricalAwards=false
• 关键词: Collaborative; Research; Implementation; Medium; Secure

This project will establish a CyberTraining hub of cyber physical energy systems in Southern Florida, a region that suffers from numerous coastal processes impacting critical infrastructures and therefore would greatly benefit from resilience and security research and education. This project aims to provide students and researchers with mentored, hands-on training. The faculty team has expertise across power engineering, communication networks, data science, and cyber/hardware security to build a novel model for energy cyberinfrastructure resilience education. The curriculum and instructional materials to be developed will bring advanced skills from multiple areas, under the umbrella of cyber-physical energy systems. Participants will develop and refine multi-disciplinary skillsets needed for the data-centric energy industry, using the unique, remotely connected smart grid cyberinfrastructure. Participants will extend their academic research portfolios, strengthening their career competitiveness as future cyberinfrastructure professionals and users. Two-week workshops will immerse undergraduate/graduate students and researchers in a unique training opportunity through laboratory demonstrations and mini workshops. Semester-long projects will provide research-intensive training and further strengthen the participants' real-world problem-solving capabilities. The project will tackle three technical challenges with significant intellectual merit: (1) Curating comprehensive, heterogeneous benign and malicious cyber-physical data from a remotely-connected cyberinfrastructure platform to strongly enable hands-on training and research. Hardware-in-the-loop power testbed connected with a virtual network laboratory will be used to characterize system dynamics, where state-of-the-art hardware and software modules will enable humans, machines, and grids to cooperate in a near-to-real learning environment; (2) Developing user-friendly cybersecurity modules in a virtual lab to simulate threats from cyberspace, enabling self-paced training. Participants will create attack scenarios in the cyber domain, where the attacking process and consequence are visualized in the physical system. Data analysis techniques based on machine learning (ML)/artificial intelligence (AI) will be developed as a set of cyber defense mechanisms; (3) Designing, delivering, and integrating cross-disciplinary curricula, composed of undergraduate and graduate course modules and a certificate program. The project further offers unique training opportunities with relevant private and public sector partners through capstone projects and internships.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.

该项目将在佛罗里达州南部建立一个网络物理能源系统中心，该地区遭受了许多影响关键基础设施的沿海过程，因此将大大受益于弹性，安全研究和教育。该项目旨在为学生和研究人员提供受过指导的动手培训。教师团队在动力工程，通信网络，数据科学和网络/硬件安全性方面具有专业知识，以建立一个新颖的网络基础设施弹性教育模型。要开发的课程和教学材料将在网络物理能源系统的保护下带来多个领域的高级技能。参与者将使用独特的，遥控的智能网格网络构建结构来开发和完善以数据为中心的能源行业所需的多学科技能。参与者将扩大他们的学术研究组合，从而增强他们作为未来网络基础设施专业人士和用户的职业竞争力。为期两周的讲习班将通过实验室演示和迷你讲习班浸入本科/研究生和研究人员的独特培训机会。一个学期的项目将提供研究密集型培训，并进一步增强参与者的现实问题解决能力。该项目将以重要的智力优点应对三个技术挑战：（1）从远程连接的网络基础设施平台中策划全面，异构良性和恶意的网络物理数据，以强烈实现动手培训和研究。与虚拟网络实验室连接的硬件式电源测试台将用于表征系统动力学，在此过程中，最先进的硬件和软件模块将使人类，机器和网格能够在近乎实现的学习环境中进行合作； （2）在虚拟实验室中开发对用户友好的网络安全模块，以模拟网络空间的威胁，从而实现自定进度的培训。参与者将在网络域中创建攻击方案，在该域中，在物理系统中可视化攻击过程和后果。基于机器学习（ML）/人工智能（AI）的数据分析技术将作为一组网络防御机制开发； （3）设计，交付和集成由本科和研究生课程模块以及证书计划组成的跨学科课程。该项目进一步通过Capstone项目和实习提供了与相关的私营和公共部门合作伙伴的独特培训机会。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来支持的。