Collaborative Research: EAGER: SaTC-EDU: Secure and Privacy-Preserving Adaptive Artificial Intelligence Curriculum Development for Cybersecurity

合作研究：EAGER：SaTC-EDU：安全和隐私保护的网络安全自适应人工智能课程开发

• 批准号: 2335624
• 负责人: Lin Lipsmeyer
• 金额: $ 3.02万
• 依托单位: Southern Methodist University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335624&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; SaTC; EDU

In recent years, researchers have applied artificial intelligence (AI) to effectively solve important problems in cybersecurity. While significant research progress has been made in cybersecurity with the help of AI, there is a shortage of highly educated workers who can solve challenging problems at the intersection of AI and cybersecurity. This project will develop such a workforce by educating qualified individuals from diverse communities in cybersecurity and AI simultaneously. The project team will develop and deliver modular and project-based courses for graduate students that cover the basics of AI and cybersecurity using real-life problems. The development of innovative courses is intended to strengthen the student experience and to build a strong and diverse workforce in AI and cybersecurity that will fill the current voids in government, industry, and academia.The project team will develop five modular courses for graduate students: (1) Scalable Advanced Analytics, (2) AI including Explainable Machine Learning (ML), (3) ML for Cybersecurity, (4) Cybersecurity for ML (e.g., Adversarial ML), and (5) Secure Blockchain Technologies. The design of these modular and hybrid courses will incorporate research-based pedagogies and innovative technologies. Courses will be offered in both instructor-led and student-directed learning formats to study the differences in learning outcome, if any, between these two different approaches. This project will provide important information regarding optimal methods to deliver interdisciplinary cybersecurity curricula and how the education community can effectively broaden access to cybersecurity education beyond typical classroom courses. The project team will conduct outreach activities to ensure participation by underrepresented populations and will disseminate findings through workshops at relevant meetings of professional societies. This project is supported by a special initiative of the Secure and Trustworthy Cyberspace (SaTC) program to foster new, previously unexplored, collaborations between the fields of cybersecurity, artificial intelligence, and education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.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.

近年来，研究人员应用人工智能（AI）有效解决网络安全中的重要问题。尽管在人工智能的帮助下，网络安全研究取得了重大进展，但缺乏能够解决人工智能和网络安全交叉领域挑战性问题的受过高等教育的工作者。该项目将通过同时对来自不同社区的合格人员进行网络安全和人工智能教育来培养这样的劳动力。该项目团队将为研究生开发和提供基于项目的模块化课程，涵盖使用现实生活问题的人工智能和网络安全基础知识。创新课程的开发旨在加强学生的体验，并在人工智能和网络安全领域建立一支强大且多元化的劳动力队伍，以填补当前政府、行业和学术界的空白。项目团队将为研究生开发五门模块化课程： (1) 可扩展的高级分析，(2) 人工智能，包括可解释的机器学习 (ML)，(3) 用于网络安全的 ML，(4) 用于 ML 的网络安全（例如对抗性 ML），以及 (5) 安全区块链技术。这些模块化和混合课程的设计将结合基于研究的教学法和创新技术。课程将以讲师指导和学生指导的学习形式提供，以研究这两种不同方法之间的学习成果差异（如果有）。该项目将提供有关提供跨学科网络安全课程的最佳方法以及教育界如何有效扩大典型课堂课程之外的网络安全教育机会的重要信息。项目团队将开展外展活动，以确保代表性不足的人群参与，并将通过专业协会相关会议上的研讨会传播研究结果。该项目得到了安全可信网络空间 (SaTC) 计划特别倡议的支持，旨在促进网络安全、人工智能和教育领域之间新的、以前未探索过的合作。 SaTC 计划与联邦网络安全研究与发展战略计划和国家隐私研究战略相一致，旨在保护和维护网络系统不断增长的社会和经济效益，同时确保安全和隐私。该奖项反映了 NSF 的法定使命，并被认为值得获得通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。