REU Site: AI-Empowered Cybersecurity

REU 网站：人工智能赋能的网络安全

• 批准号: 2349236
• 负责人: Yugyung Lee
• 金额: $ 46.5万
• 依托单位: University of Missouri-Kansas City
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349236&HistoricalAwards=false
• 关键词: REU; Site; AI; Empowered; Cybersecurity

Cybersecurity continuously faces challenges arising from evolving infrastructures, emerging vulnerabilities, and human factors. Artificial Intelligence (AI) is poised to emerge as a crucial tool in this scenario, significantly enhancing threat detection, refining the precision of attack identification, and expediting incident response. The University of Missouri-Kansas City will establish a new Research Experience for Undergraduates (REU) site that orchestrates a summer program to engage undergraduate students in comprehensive AI and cybersecurity research. In this program, students will collaborate closely with faculty mentors on in-depth projects, participate in interactive labs and workshops, and present innovative research findings. Aiming to reach underrepresented groups and institutions with limited research resources, the program promotes diversity and inclusivity in cybersecurity.This project will investigate the forefront of AI technologies like Generative AI, Large Language Models, and Graph Neural Networks. These technologies will be applied to a spectrum of cybersecurity challenges, such as intrusion detection, advanced phishing detection, code vulnerability analysis, and the development of robust authentication systems. Under the guidance of expert mentors, REU students will significantly contribute to advancing AI-driven cybersecurity solutions. Furthermore, the project will collaborate with GenCyber summer camps, introducing high school students to these critical subjects. REU participants will share their research findings and experiences with camp attendees through panel discussions and presentations, fostering an environment of knowledge transfer and active community engagement.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.

网络安全不断面临着不断发展的基础设施、新出现的漏洞和人为因素带来的挑战。人工智能 (AI) 有望成为这种情况下的关键工具，显着增强威胁检测、提高攻击识别的精度并加快事件响应。密苏里大学堪萨斯城分校将建立一个新的本科生研究体验 (REU) 网站，该网站将安排一个暑期项目，让本科生参与全面的人工智能和网络安全研究。在这个项目中，学生将与教师导师在深入的项目上密切合作，参加互动实验室和研讨会，并展示创新的研究成果。该项目旨在覆盖研究资源有限的弱势群体和机构，促进网络安全的多样性和包容性。该项目将研究生成式人工智能、大型语言模型和图神经网络等人工智能技术的前沿。这些技术将应用于一系列网络安全挑战，例如入侵检测、高级网络钓鱼检测、代码漏洞分析以及强大的身份验证系统的开发。在专家导师的指导下，REU 学生将为推进人工智能驱动的网络安全解决方案做出重大贡献。此外，该项目将与 GenCyber​​ 夏令营合作，向高中生介绍这些关键科目。 REU 参与者将通过小组讨论和演示与夏令营参加者分享他们的研究成果和经验，营造知识转移和积极社区参与的环境。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和知识进行评估，被认为值得支持。更广泛的影响审查标准。