REU Site: Research and Training Experience for Undergraduates in the Areas of Cybersecurity, Data Analytics and Blockchain for Securing Big Data and Cyber-Physical Systems

该奖项旨在为密苏里科技大学计算机科学系的本科生研究经验（REU）设立一个新的网站。每年夏天，一群本科生将访问密苏里科技大学校园，以小组形式与教师一起设计、实施和评估涉及网络安全、数据分析和区块链的研究项目，以保护网络物理系统等系统。该网站将专注于从2至4年制院校的计算机领域招募来自不同群体的弱势群体和女性学生。学生将参加专业发展活动，使他们更加了解研究生院和计算机职业的专业方面。学生们将能够使用大学最先进的设施，并与教师导师互动，对新兴技术进行具有挑战性的及时研究，以开发未来的安全系统。密苏里科技大学的这个新的REU站点将专注于研究项目，包括云的安全数据共享方案，使用许可区块链的物联网访问控制，数据驱动的CPS和物联网的安全性和可信度，以及基于ml的系统的人群审计。跨不同领域和技术的网络安全使用为跨各种应用建立安全的网络基础设施提供了有效手段，从而为技术型社会做出贡献。REU学生，博士后，研究生和教师将有机会探索重要和及时的问题，并与我们的社会相关。该项目还将在网络安全、机器学习、CPS和物联网研究和知识方面建立人力能力。该项目将为本科生提供经验，这些经验可能会影响他们对继续教育和未来职业的选择，并继续给予他们追求这些选择的信心，从而增加科学劳动力的规模和多样性。该站点由国防部ASSURE项目与NSF REU项目合作提供支持。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 award is to set a new site for Research Experiences for Undergraduates (REU) in the Computer Science Department at the Missouri University of Science and Technology. Each summer a cohort of undergraduate students will visit Missouri S & T campus to work with faculty in small groups to design, implement, and evaluate research projects involving Cybersecurity, Data Analytics, and Blockchain for securing systems such as Cyber-physical Systems. The site will focus on recruiting under-represented and women students from diverse groups in computing fields from 2 to 4-year institutions. The students will participate in professional development activities that make them more aware of graduate school and professional aspects of a computing career. The students will be able to use the state-of-the-art facilities available at the university and interact with faculty mentors to conduct challenging and timely research on emerging technologies to develop secure systems for the future.This new REU Site at The Missouri University of Science and Technology will focus on research projects involving Secure Data Sharing Scheme for Cloud, IoT Access Control Using Permissioned Blockchain, Security and Trustworthiness in Data-Driven CPS and IoT and Crowd-Audit in ML-based Systems. The use of cybersecurity across different domains and technology offers an effective means for establishing secure cyberinfrastructures across a wide variety of applications thus, contributing toward a technology-based society. REU students, postdocs, graduate students, and faculty will have the opportunity to explore problems that are important and timely, and relevant to our society. This project will also build human capacity in cybersecurity, machine learning, CPS, and IoT research and knowledge. The program will provide experiences to undergraduate students that may influence their choices about further education and future careers and continue to give them the confidence to pursue these choices and thus, increase the size and diversity of the scientific workforce.This site is supported by the Department of Defense ASSURE Program in partnership with the NSF REU 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.