CRII: SaTC: Towards Secure Wide-area Localization

现代定位系统，如全球定位系统，已经广泛显示出信号欺骗和干扰攻击的脆弱性。随着自动驾驶汽车和无人驾驶飞行器等自主网络物理系统的出现，安全估计、跟踪和验证位置的能力变得越来越重要，这表明迫切需要实现能够抵御现代网络物理攻击的定位系统。本项目通过评估和理解实现安全广域定位系统的瓶颈，并提供克服这些瓶颈的解决方案来实现这一愿景。该项目将通过近期和长期部署策略开发增强现有定位系统安全性的方法。该项目旨在设计几种攻击检测和缓解技术，这些技术可以在当前部署的设备上实施，而无需对现有基础设施进行重大修改。该项目还将开发新技术，利用先进的信号处理、机器学习和传感器融合技术，建立强大的恢复机制。针对流行的定位系统及其故障安全技术的网络物理攻击的整体实验评估也将进行，同时由于当今网络系统的相互依赖性和反作用，跨地理区域和网络的位置欺骗攻击也将进行评估。该项目将探索建立一个既可扩展又安全的广域定位系统之间存在的紧张关系，从而为该领域的未来研究奠定基础。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Modern localization systems such as the Global Positioning System have widely demonstrated vulnerabilities to signal-spoofing and jamming attacks. With the advent of autonomous cyber-physical systems such as self-driving cars and unmanned aerial vehicles, the ability to securely estimate, track and verify one's location is increasingly critical, indicative of a strong need to realize localization systems that are resilient to modern day cyber-physical attacks. This project pursues this vision by evaluating and understanding the bottlenecks in realizing a secure wide-area localization system, and offering solutions to overcome them.This project will develop methods to enhance the security of existing localization systems with both near- and long-term deployment strategies. The project seeks to design several attack detection and mitigation techniques that can be implemented on currently deployed devices without requiring significant modifications to existing infrastructure. The project will also develop novel technologies that leverage and build robust recovery mechanisms using a combination of advanced signal processing, machine learning, and sensor fusion techniques. Holistic experimental evaluations of cyber-physical attacks against popular localization systems and their fail-safe technologies will likewise be conducted, alongside the evaluation of location spoofing attacks across geographic areas and networks due to the interdependencies and retroactions of today's networked systems. The project will explore the tension that exists between building a wide-area localization system that is both scalable and secure, thereby laying a foundation for future research in this area.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.