CRII: SaTC: Securing Smart Devices with AI-Powered mmWave Radar in New-Generation Wireless Networks

CRII：SaTC：在新一代无线网络中使用人工智能驱动的毫米波雷达保护智能设备

• 批准号: 2422863
• 负责人: Tao Li
• 金额: $ 17.5万
• 依托单位: Purdue 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: 2024-07-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2422863&HistoricalAwards=false
• 关键词: CRII; SaTC; Securing; Smart; Devices

Future networking systems, such as 6G cellular and future Wi-Fi networks, are envisioned to connect billions of heterogeneous smart devices and enable high-speed and low-latency communications using millimeter wave (mmWave) technologies. Instead of focusing on using mmWave for data communication, this project outlines a challenging research plan on exploring, implementing, and evaluating novel mmWave-based sensing techniques for cyber security applications. The project’s novelties are the development of mmWave-based biometrics to defend against more advanced attacks and to respond faster to potential data breaches. The project's broader significance and importance are that the research will help us to gain a fundamental understanding on adopting the mmWave-based sensing techniques for potential security applications. A successful outcome of the research will lead to new biometrics techniques that can provide stronger access control for device and data protection.The project consists of three parts. The first part is to develop mmLock, a user-leaving detection system by analyzing the mmWave signal reflections from the user body. It can help lock device automatically to prevent data theft when the user is unknowingly away from his/her device. The research will explore and address the challenging scenario of having multiple moving objects simultaneously. The second part investigates a liveliness detection technique by checking the consistency between the user’s head movement pattern extracted from vision analysis and the pattern from the corresponding mmWave data for more secure facial authentication. It has the potential to defend against the most advanced attacks such as 3D projection attack and can work in any lighting conditions. The third effort will implement a prototype system and evaluate its performance with regards to security and usability.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.

设想将未来的网络系统（例如6G蜂窝和未来的Wi-Fi网络）连接数十亿个异质智能设备，并使用毫米波（MMWave）技术启用高速和低延迟通信。该项目没有专注于使用MMWave进行数据通信，而是概述了针对网络安全应用程序探索，实施和评估新型基于MMMWave的敏感性技术的挑战研究计划。该项目的新颖性该项目由基于MMWave的生物识别技术组成，以防御更先进的攻击，并对潜在的数据中断响应更快。该项目的更广泛的意义和重要性是，该研究将帮助我们对采用基于MMWave的潜在安全应用程序采用基本的了解。该研究的成功结果将导致新的生物识别技术，可以为设备和数据保护提供更强的访问控制。该项目由三个部分组成。第一部分是通过分析用户主体的MMWave信号反射来开发MMLOCK，这是一种用户关节检测系统。当用户远离其设备时，它可以帮助自动锁定设备以防止数据盗窃。该研究将简单地拥有多个移动对象的挑战情况探索并解决挑战情况。第二部分通过检查视觉分析中提取的用户头部运动模式与从相应的MMWAVE数据中提取的模式之间的一致性来研究一种活泼的检测技术，以获得更安全的面部认证。它有可能防御最先进的攻击，例如3D投影攻击，并且可以在任何照明条件下工作。第三次努力将实施原型系统，并在安全性和可用性方面评估其绩效。该奖项反映了NSF的法定任务，并被认为是使用基金会的知识分子优点和更广泛的影响审查标准的评估值得支持的。