CPS: Medium: Collaborative Research: Security vs. Privacy in Cyber-Physical Systems

这项研究考察了对网络物理系统中的安全和隐私权衡进行建模的科学基础，特别是关注恶意各方可能滥用隐私保护技术来隐藏其攻击的环境。其目标是为包括智能交通系统、智能能源和自动驾驶汽车在内的各种网络物理系统提供安全和隐私保障。以前已经独立研究了网络物理系统中的隐私和安全，但它们往往没有被联合解决。本项目将研究隐私保护机制，如差异隐私，并探索使用此类机制如何影响最先进的完整性和攻击检测机制。该项目还将开发新的防御措施，包括：1)确定隐私和安全之间的基本权衡，基于隐私、控制理论和优化方法的理论分析，应用如流量密度估计和智能电网；2)在分析对抗策略时纳入博弈论考虑；以及3)提出适用于网络物理系统和其他领域的新隐私保护技术。该奖项反映了NSF的法定使命，并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，被认为值得支持。

This research examines the scientific foundations for modeling security and privacy trade-offs in cyber-physical systems, focusing in particular on settings where privacy-protection technologies might be abused by malicious parties to hide their attacks. The goal is to provide both security and privacy guarantees for a variety of cyber-physical systems including intelligent transportation systems, smart energy, and autonomous vehicles.Privacy and security in cyber-physical systems have been studied independently before, but often they have not been addressed jointly. This project will study privacy-protection mechanisms such as differential privacy, and explore how using such mechanisms can affect the state-of-art integrity and attack-detection mechanisms. The project will also develop novel defenses including: 1) Identifying fundamental trade-offs between privacy and security based theoretical analyses of privacy, control theory, and optimization methods, with applications such as traffic-density estimation and smart grids; 2) incorporating game-theoretic considerations in analyzing adversarial strategies; and 3) Proposing new privacy-preserving techniques applicable in cyber-physical systems and beyond.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.