Collaborative Research: EAGER: SaTC-EDU: Learning Platform and Education Curriculum for Artificial Intelligence-Driven Socially-Relevant Cybersecurity

合作研究：EAGER：SaTC-EDU：人工智能驱动的社会相关网络安全的学习平台和教育课程

• 批准号: 2114920
• 负责人: Long Cheng
• 金额: $ 13万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114920&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; SaTC; EDU

With the rise of social media, cyberharassment has been identified as a critical social-cybersecurity problem. Artificial intelligence (AI) has immense potential to solve this problem by automating detection. Nevertheless, while AI can be a useful tool in the fight against cyberharassment, it is vulnerable to adversarial attacks. In addition, AI-driven cyberharrassment detection models may have embedded social problems, such as fairness and ethics. To advance AI-cybersecurity education, this project will develop curricular modules and hands-on labs. These modules will be based on cutting-edge research on AI-driven cyberharassment detection, related attacks against the AI models, and social issues in AI models for cyberharassment detection. This project will benefit both computer science (CS) and non-CS (e.g., social science) students due to the highly interdisciplinary nature of AI-driven cyberharassment detection . The pervasiveness and severity of cyberharassment in the era of social media makes this project ideal for motivating and educating students about the mutual needs and benefits of AI and social-cybersecurity. This project will attract students with diverse backgrounds (specifically from underrepresented groups) into the AI-cybersecurity field and increase general awareness of cybersecurity and AI. The goal of this project is to transform recent research outcomes in emerging social-cybersecurity into an educational format. This project will develop hands-on labs that cover different dimensions of AI-driven social-cybersecurity and demonstrate the interplay between AI and cybersecurity. The hands-on labs will be integrated into a cloud-based open learning platform, which contains 1) the project team’s homegrown and classic AI-driven cyberharassment detection algorithms; 2) adversarial attacks against these AI algorithms and defenses; and 3) social issues and bias mitigation in AI models. The proposed learning platform will provide students with an in-depth understanding of social-cybersecurity problems and AI techniques through their own experimentation. The project team will develop course materials for both CS and non-CS students and will also develop curriculum materials and organize summer camps for high school students to increase their cybersecurity awareness and interest in the related fields. The cloud-based open labs and learning platform designed in this project will be easily accessed by faculty from other universities. 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.

随着社交媒体的兴起，Cyber​​harasmment被确定为一个关键的社交社会安全问题。人工智能（AI）具有通过自动检测来解决此问题的巨大潜力。然而，尽管AI可能是与Cyber​​harasmment作斗争的有用工具，但它很容易受到对抗攻击的影响。此外，AI驱动的网络骚扰检测模型可能会嵌入社会问题，例如公平和道德。为了促进AI-Cyber​​berity教育，该项目将开发当前的模块和动手实验室。这些模块将基于有关AI驱动的Cyber​​harasmment检测，对AI模型的相关攻击以及AI AI模型中的网络骚扰检测中的社会问题的尖端研究。由于AI驱动的Cyber​​harassment检测的高度跨学科性质，该项目将使计算机科学（CS）和非CS（例如社会科学）学生受益。在社交媒体时代，网络宣传的普遍性和严重性使得该项目是激励和教育学生有关人工智能和社交社会安全的相互需求和利益的理想之选。该项目将吸引具有潜水员背景的学生（特别是来自代表性不足的群体）进入AI-Cyber​​security领域，并提高人们对网络安全和AI的一般认识。该项目的目的是将新兴的社会环境中新兴的研究成果转变为一种教育形式。该项目将开发实践实验室，涵盖AI驱动的社交企业安全的不同维度，并展示AI和网络安全之间的相互作用。动手实验室将集成到一个基于云的开放学习平台中，其中包含1）项目团队的本土和经典的AI驱动的Cyber​​harassment检测算法； 2）对这些AI算法和防御的对抗性攻击； 3）AI模型中的社会问题和偏见缓解。拟议的学习平台将通过自己的实验为学生提供对社会环境问题和AI技术的深入了解。该项目团队将为CS和非CS学生开发课程材料，还将开发课程材料，并为高中生组织夏令营，以提高其网络安全意识和对相关领域的兴趣。该项目设计的基于云的开放实验室和学习平台将由其他大学的教师轻松访问。该项目得到了安全且值得信赖的网络空间（SATC）计划的特别主动，以促进网络安全，人工智能和教育领域之间的新，以前出乎意料的合作。 SATC计划与联邦网络安全研究与发展战略计划以及国家隐私研究战略保持一致，以保护和维护网络系统的不断增长的社会和经济利益，同时确保安全和隐私。该奖项反映了NSF的法定任务，并被认为是通过使用基金会的知识分子和更广泛影响的评估来审查Criteria来通过评估来通过评估来支持的。