EDU: Developing Security Education Materials for Future Advanced Manufacturing Engineering Workforce

先进制造系统（AMS）的网络安全已经引起了公众和研究人员的极大兴趣。然而，相应的教育项目在许多方面落后。有限的课程或实践学习资源可用于AMS的安全教育，特别是涵盖整个制造周期的练习。本项目将尝试通过开发一个专用于AMS安全教育的实验平台，并设计一套课程模块和实践项目来弥补这一差距。研究成果将提供一种新的方法来培训合格的劳动力，以填补这个传统但快速发展的行业中数以万计的空缺职位，并提高未来网络物理系统的可持续性和安全性。少数民族和代表性不足的学生将从该项目中受益。两所社区学院对此项目表现出极大的兴趣和支持。该团队将通过在远程自动化管理项目（RAMP）系统上实施新的设备预订、命令传输和传感数据收集模块，为AMS开发一个实验平台。该平台涵盖支撑现代制造业务的网络和物理系统。此外，学员将会就医疗辅助队的基础设施及数据安全发展三个课程单元及四个实践项目，以学习知识及训练技能。已计划作出特别努力，评价和传播拟议的实验平台和教育材料。将由经验丰富的评估人员执行严格的评估计划，以评估项目每个阶段的目标和成就。新的教学材料将在北卡罗来纳大学夏洛特分校的四门课程中实施。通过与当地社区学院、NSF STARS联盟、NSF REU网站和NSF SFS奖学金计划的合作，研究人员将通过夏令营和演讲与高中生和本科生接触。

The cyber security of advanced manufacturing systems (AMS) has raised significant interest amongst both the general public and researchers. However, corresponding education programs fall behind in many aspects. Limited curriculum or hands-on learning resources are available for security education in AMS, especially exercises that cover the complete manufacturing cycle. This project will try to bridge the gap by developing an experiment platform dedicated to security education for AMS, and designing a suite of course modules and hands-on projects upon it. The research achievements will provide a new method to train qualified workforce to fill tens of thousands of open positions in this traditional yet fast evolving industry and improve the sustainability and security of future cyber-physical systems. Minority and under-represented students will benefit from the project. Two community colleges have shown a great interest in and support for this project.The team will develop an experiment platform for AMS by implementing new modules for equipment reservation, command transmission, and sensing data collection upon the Remote Automation Management Project (RAMP) system. This platform covers both cyber and physical systems underpinning modern manufacturing operations. Three course modules and four hands-on projects on infrastructure and data security in AMS will then be developed for knowledge learning and skill training. Special efforts have been planned for the evaluation and dissemination of the proposed experiment platform and educational materials. Rigorous evaluation plans will be carried out by experienced evaluators to assess the objectives and achievements of each phase of the project. The new instructional materials will be implemented in four courses at UNC Charlotte. Through collaborations with local community colleges, the NSF STARS Alliance, NSF REU site, and NSF SFS Scholarship program, the researchers will reach out to both high school and undergraduate students through summer camps and presentations.