REU Site: CyberAI: Cybersecurity Solutions Leveraging Artificial Intelligence for Smart Systems

REU 网站：Cyber​​AI：利用人工智能实现智能系统的网络安全解决方案

• 批准号: 2349104
• 负责人: Mohamed Mahmoud
• 金额: $ 45.9万
• 依托单位: Tennessee Technological University
• 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: 2024-03-01 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349104&HistoricalAwards=false
• 关键词: REU; Site; CyberAI; Cybersecurity; Solutions

Tennessee Technological University will offer a renewed Research Experience for Undergraduates (REU) Site that will contribute to the security and privacy of various smart systems. The proposed REU site has a three-year plan to provide training to 30 undergraduate students in Research and Development (R&D) activities focused on cybersecurity solutions that leverage artificial intelligence (AI) for smart systems. Participants will gain knowledge in various areas, including cryptography, deep learning, federated and reinforcement learning, graph-based anomaly detection, and hardware attack countermeasures. Under the guidance of expert faculty mentors, students will learn how to define research problems, develop, implement, and evaluate solutions. In addition to enhancing the research experience for undergraduates, the site aims to (1) contribute to the cybersecurity workforce development, (2) increase the representation of female and minority students in cybersecurity, (3) encourage undergraduates to pursue graduate studies, (4) support TTU's focus on cybersecurity research, and (5) promote STEM enrollment.Inspired by recent advancements in AI, telecommunications (e.g., 5G cellular networks), sensing technologies, and computing, the concept of smart systems, such as smart power grids and smart healthcare, has emerged with the goal of enhancing our daily lives. These systems aim to revolutionize the services offered, but they also introduce security and privacy challenges. The proposed REU site will conduct research encompassing a wide range of attacks, including those targeting cyber/hardware vulnerabilities and security/privacy preservation. The site will employ an array of tools such as deep learning, federated learning, reinforcement learning, cryptography, and graph-based anomaly detection. The primary outcomes expected from this site's research efforts will include scholarly publications, machine learning models, simulations, instructional manuals, and more. By the end of the program, these students will possess valuable knowledge and skills, potentially igniting their interest in pursuing professional careers in the cybersecurity field. This is of paramount importance, given the existing shortage of cybersecurity professionals, and it aligns with the imperative of safeguarding our nation's security.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.

田纳西理工大学将提供全新的本科生研究体验 (REU) 网站，这将有助于各种智能系统的安全和隐私。拟议的 REU 站点有一个三年计划，为 30 名本科生提供研发 (R&D) 活动培训，重点是利用人工智能 (AI) 构建智能系统的网络安全解决方案。参与者将获得各个领域的知识，包括密码学、深度学习、联邦学习和强化学习、基于图的异常检测和硬件攻击对策。在专家导师的指导下，学生将学习如何定义研究问题、开发、实施和评估解决方案。除了增强本科生的研究经验外，该网站还旨在 (1) 促进网络安全劳动力发展，(2) 增加网络安全领域女性和少数族裔学生的代表性，(3) 鼓励本科生攻读研究生，(4 ）支持 TTU 对网络安全研究的关注，以及（5）促进 STEM 招生。受人工智能、电信（例如 5G 蜂窝网络）、传感技术和计算、智能系统概念（例如智能电力）最新进展的启发电网和智能医疗保健的出现，旨在改善我们的日常生活。这些系统旨在彻底改变所提供的服务，但它们也带来了安全和隐私挑战。拟议的 REU 站点将开展涵盖广泛攻击的研究，包括针对网络/硬件漏洞和安全/隐私保护的攻击。该网站将采用一系列工具，例如深度学习、联合学习、强化学习、密码学和基于图形的异常检测。该网站研究工作的预期主要成果将包括学术出版物、机器学习模型、模拟、教学手册等。课程结束时，这些学生将拥有宝贵的知识和技能，有可能激发他们在网络安全领域追求职业生涯的兴趣。鉴于目前网络安全专业人员的短缺，这一点至关重要，并且它符合维护国家安全的迫切需要。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查进行评估，认为值得支持标准。