Collaborative Research: CyberTraining: Implementation: Medium: Cross-Disciplinary Training for Joint Cyber-Physical Systems and IoT Security

关键基础设施，如电网、供水系统和制造工厂，继续成为隐形和削弱网络和物理攻击的目标。这些袭击不仅阻碍了我们的国家安全，也危害了我们的经济繁荣。一些障碍阻碍了解决这些关键资产的安全问题，包括在这些领域深处整合可能易受伤害的新传感技术，此外还严重缺乏来自学术界和私营和公共部门的相关培训专家。沿着同样的思路，缺乏来自这些领域的经验数据，再加上这些系统的复杂性，在面对老练的国家支持的攻击者的挑战时，进一步暴露了这个问题。为此，该项目通过为来自不同相关领域的研究科学家提供全面的培训，服务于NSF促进科学进步的使命。除了促进关键基础设施的培训和研究外，该项目还提出了多学科课程，同时与众多利益攸关方建立积极和可操作的传播伙伴关系，切实影响这些相互关联、高度重要的社会系统的安全。该项目还广泛影响了美国各地这些重要跨学科领域的妇女和少数民族培训。该项目独特地整理了来自真实基础设施系统的大规模良性和恶意网络和网络物理经验数据，为实践培训和研究提供了强有力的支持。然后，该项目开发了自动化的方法来注释这些数据，同时将其编入索引并与相关研究科学家共享，以增强前瞻性研究人员的发展。该项目还设计、交付和集成跨学科课程，包括本科和研究生课程以及证书课程，处理不断发展的主题，如系统动力学的物理建模、相关经验驱动的数据科学应用和联合操作安全分析。它还为毕业前和毕业后的学员提供与相关私营和公共部门合作伙伴的独特培训机会，包括顶点项目、实习和竞争性就业选择。该项目还设计和实现了各种安全技术，以及逼真的仿真和仿真工具集，为研究人员提供实用的培训专业知识。该项目利用虚拟实验室设置，提供这种开发的培训材料的自定进度的培训，同时实现了相当大的推广到相关研究人员在美国和超越。该项目在关键基础设施安全领域培养了一批有影响力的专家，通过协调和主办合作机构的年度讲习班，广泛传播这种开发好的培训材料和实验室。该项目由一个已建立的项目评估机构指导，该机构由NSF产学研合作专家、教学法促进者以及来自地方和国家培训和研究中心的代表性研究人员组成。该项目由OAC和赛博军团计划共同资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Critical infrastructures, such as the power grid, water systems, and manufacturing plants, continue to be targeted by stealthy and debilitating cyber and physical attacks. These attacks not only hinder our national security but also jeopardize our economic prosperity. Several hurdles impede addressing the security of such critical assets, including the integration of new possibly vulnerable sensing technologies deep within such realms, in addition to the profound lack of relevant training experts from academia and both private and public sectors. Along the same line of thought, the shortage of empirical data originating from such realms, in conjunction with the complexity of such systems, further exposes the problem when facing the challenges of sophisticated state-sponsored attackers. To this end, this project serves NSF's mission to promote the progress of science by offering well-rounded training to research scientists coming from diverse related areas. The project puts forward multidisciplinary curricula in addition to catalyzing critical infrastructure training and research, while establishing active and actionable dissemination partnerships with numerous stakeholders, tangibly influencing the security of such interrelated, highly-important societal systems. The project also widely influences the training of women and minorities in these imperative cross-disciplinary areas across the US. The project uniquely curates contextualized, large-scale benign and malicious cyber and cyber-physical empirical data from real infrastructure systems to strongly enable hands-on training and research. The project then develops automated methodologies to annotate such data while indexing and sharing it with relevant research scientists to empower forward-looking research workforce development. The project also designs, delivers and integrates cross-disciplinary curricula, composed of undergraduate and graduate courses and a certificate program, dealing with evolving topics such as, physical modeling of system dynamics, related empirically driven data science applications, and joint operational security analytics. It also offers unique training opportunities with relevant private and public sector partners for both pre- and post-graduation trainees, rendered by capstone projects, internships, and competitive placement options. The project also designs and implements various security techniques, along with realistic emulation and simulation toolsets, to offer practical training expertise to researchers. The project utilizes virtualized lab setups to offer self-paced training of such developed training material, while achieving considerable outreach to relevant researchers across the US and beyond. The project fosters a community of impactful experts in the critical infrastructure security area to widely-disseminate such developed training materials and labs through coordinating and hosting yearly workshops at the collaborating institutions. The project is steered by an established program evaluation body that is composed of leading NSF Industry-University Research Partnership experts, pedagogy facilitators, and representative researchers from operational local and national training and research centers. This project is jointly funded by OAC and the CyberCorps program.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.