Collaborative Research: CISE-MSI: DP: OAC: Integrated and Extensible Platform for Rethinking the Security of AI-assisted UAV Paradigm

合作研究：CISE-MSI：DP：OAC：重新思考人工智能辅助无人机范式安全性的集成和可扩展平台

• 批准号: 2318711
• 负责人: Jiawei Yuan
• 金额: $ 30万
• 依托单位: University of Massachusetts, Dartmouth
• 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: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2318711&HistoricalAwards=false
• 关键词: Collaborative; Research; CISE; MSI; DP

Unmanned aerial vehicles (UAVs), or drones, are widely adopted to support a spectrum of military, civilian, and commercial applications. With the rapid development of AI techniques, the AI-assisted UAV paradigm becomes promising to enhance various UAV operations in terms of intelligence, effectiveness, and efficiency. At the same time, the integration of AI and UAVs also raises new security and safety concerns. This project will investigate and develop a novel integrated and extensible platform to promote security research that uncovers vulnerabilities and designs countermeasures toward the AI-assisted UAV paradigm. In addition, this project will not only build and promote research capacity and resources for researchers at California State University San Marcos - a minority-serving institution, but also provide research and education experience to a large number of underrepresented minority students. This project will first design and develop a research platform for the secure integration of AI and UAVs. By leveraging the platform, this project will then investigate two directions of the secure AI-assisted UAV paradigm, including (1) security analysis of AI-enabled UAV anomaly detection and (2) robust AI-assisted UAV operations in adversarial environments. The contributions of this project will be threefold: (1) obtain an in-depth understanding of potential vulnerabilities introduced by the integration of AI and UAV, (2) explore the possibility of constructing effective attacks to exploit vulnerabilities and provide the measurement of impacts of these explorations, and (3) improve the security awareness and defense approaches of the prevalent research trend in the integration of AI and UAVs.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.

无人驾驶汽车（无人机）或无人机被广泛采用，以支持一系列军事，平民和商业应用。随着AI技术的快速发展，AI辅助无人机范式变得有望在智能，有效性和效率方面增强各种无人机操作。同时，AI和无人机的集成也引起了新的安全和安全问题。该项目将调查并开发一个新颖的集成且可扩展的平台，以促进安全研究，以发现针对AI辅助无人机范式的脆弱性和设计对策。此外，该项目不仅将为加利福尼亚州立大学圣马科斯（San Marcos）的研究人员建立和促进研究能力和资源，这是一家少数派服务机构，而且还为大量代表人数不足的少数学生提供研究和教育经验。该项目将首先设计并开发一个研究平台，以确保AI和无人机的安全集成。通过利用平台，该项目将研究安全AI辅助无人机范式的两个方向，包括（1）对AI-abable AI-abable UAV异常检测检测的安全分析，以及（2）在对抗环境中强大的AI-AI辅助无人机操作。该项目的贡献将为三重：（1）获得对通过AI和无人机的整合引入的潜在漏洞的深入了解，（2）探索构建有效攻击以利用漏洞的可能性，并提供对这些探索的影响的衡量，以及（3）提高对安全性和防御方法的奖励，并提高了对ACE的安全性和防御能力的兴趣，并在整合了AI的趋势A and the Intection AN趋势AN趋势and and the Indection AN趋势AN趋势AN潮流趋势AN趋势范围内的趋势AN潮流趋势范围内的趋势AN潮流趋势范围内的趋势范围内的趋势范围内的趋势范围内的趋势范围趋势。 NSF的法定使命，并使用基金会的知识分子优点和更广泛的影响审查标准来评估值得支持。