REU Site: Secure and Privacy-Preserving Cyber-Physical Systems: Software and Hardware Approaches

这个本科生研究经验（REU）站点奖资助田纳西理工大学的一个更新站点，该站点专注于培养能够保护国家关键基础设施的未来研究人员。该网站的重点是信息物理系统（cps），这是一类工程系统，其中计算和通信网络用于监视和控制物理组件。cps在智能和安全城市、自动驾驶汽车、工业物联网（IIoT）和智能电网等现代系统和计划的设计和开发中发挥着重要作用。cps中的安全漏洞可能通过软件或硬件发生。任何一方都可以中断关键的基础设施，暴露公民的位置和活动，从而使cps的安全对美国的国家安全至关重要。一个由教师组成的专家组将指导这些REU参与者构思、设计、实施和评估与cps安全和隐私相关领域的研究项目。该团队计划与少数民族服务机构合作，在全国范围内开展招聘工作，并向来自代表性不足的社区、妇女、残疾学生和科学、技术、工程和数学（STEM）研究有限的机构的优秀学生伸出援手。该网站将调查CPS的软件和硬件固有攻击。本科生将有机会学习各种主题，包括保护CPS的区块链，工业物联网硬件和软件攻击的挑战，在资源约束硬件上部署深度学习架构时对抗性学习攻击的威胁。学生将接触到不同领域的工具集，如密码学、基于图的异常检测和卷积神经网络。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。

This Research Experiences for Undergraduates (REU) Site award funds a renewal site at Tennessee Technological University focused on preparing future researchers who can protect the nation's critical infrastructure. The site's focus is on Cyber-Physical Systems (CPSs), a class of engineering systems where computation and communication network are used to monitor and control physical components. CPSs play a major role in the design and development of modern systems and initiatives, such as smart and safe cities, self-driving cars, industrial internet of things (IIoT), and smart power grid. Security breaches in CPSs can occur through software or hardware. Either one can halt critical infrastructures and reveal citizens' locations and activities, making the security of CPSs crucial for U.S. national security.An expert group of faculty members will mentor these REU participants to conceive, design, implement, and assess research projects in the areas related to security and privacy in CPSs. The team plans to conduct nationwide recruitment efforts in partnership with Minority Serving Institutions, and to reach out to meritorious students from under-represented communities, women, students with disabilities and from institutions limited in Science, Technology, Engineering and Math (STEM) research. The site will investigate both software and hardware intrinsic attacks in CPS. Undergraduate students will have the opportunity to learn diverse topics including, Blockchain for securing CPS, challenges with hardware and software attacks on IIoT, threats of adversarial learning attacks on the deployment of deep learning architectures on resource constraint hardware. Students will get exposure to different toolsets in domains such as cryptography, graph-based anomaly detection, and convolutional neural networks.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.