CAREER: Practical Control Engineering Principles to Improve the Security and Privacy of Cyber-Physical Systems

职业：提高网络物理系统安全性和隐私性的实用控制工程原理

• 批准号: 1931573
• 负责人: Alvaro Cardenas
• 金额: $ 45.33万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931573&HistoricalAwards=false
• 关键词: CAREER; Practical; Control; Engineering; Principles

This project focuses on tackling the security and privacy of Cyber-Physical Systems (CPS) by integrating the theory and best practices from the information security community as well as practical approaches from the control theory community. The first part of the project focuses on security and protection of cyber-physical critical infrastructures such as the power grid, water distribution networks, and transportation networks against computer attacks in order to prevent disruptions that may cause loss of service, infrastructure damage or even loss of life. The second part of the project focuses on privacy of CPS and proposes new algorithms to deal with the unprecedented levels of data collection granularity of physical human activity. The work in these two parts focuses on the integration of practical control theory concepts into computer security solutions. In particular, in the last decade, the control theory community has proposed fundamental advances in CPS security; in parallel, the computer security community has also achieved significant advances in practical implementation aspects for CPS security and privacy. While both of these fields have made significant progress independently, there is still a large language and conceptual barrier between the two fields, and as a result, computer security experts have developed a parallel and independent research agenda from control theory researchers. In order to design future CPS security and privacy mechanisms, the two communities need to come closer together and leverage the insights that each has developed. This project attempts to facilitate the integration of these two communities by leveraging the physical properties of the system under control in two research problems: (1) Physics-based CPS security; and (2) Physics-based CPS privacy.Physics-based CPS security leverages the time series from sensor and control signals to detect deviations from expected operation. This is a growing area of research in both security and control theory venues, although there are several open problems in this space. This proposal tackles some of these open problems including the definition of new evaluation metrics that capture the unique operational properties of control systems, the consistent evaluation of different proposals for models and anomaly detection tests, and the development of new industrial control protocol parsers. Physics-based CPS privacy focuses on how to guide the implementation of general privacy recommendations like the Fair Information Practice principles into cyber-physical systems, leveraging the fact that these physical systems often have an objective to achieve, and this objective depends on the data-handling policies of the operator. The project focuses on investigating the trade-off between privacy and control performance and developing tools to guide how data minimization, data delays, and data retention should be implemented.

该项目的重点是通过整合信息安全社区的理论和最佳实践以及控制理论社区的实用方法来解决网络物理系统（CPS）的安全和隐私问题。该项目的第一部分重点关注电网、供水网络和运输网络等网络物理关键基础设施的安全和保护，使其免受计算机攻击，以防止可能导致服务损失、基础设施损坏甚至人员伤亡的中断。该项目的第二部分重点关注 CPS 的隐私，并提出新的算法来处理人类身体活动的前所未有的数据收集粒度。这两部分的工作重点是将实用控制理论概念集成到计算机安全解决方案中。特别是，在过去的十年中，控制理论界在 CPS 安全性方面提出了根本性的进展；与此同时，计算机安全界在 CPS 安全和隐私的实际实施方面也取得了重大进展。虽然这两个领域都独立取得了重大进展，但这两个领域之间仍然存在很大的语言和概念障碍，因此，计算机安全专家与控制理论研究人员制定了并行且独立的研究议程。 为了设计未来的 CPS 安全和隐私机制，两个社区需要更加紧密地合作并利用各自发展的见解。该项目试图通过在两个研究问题中利用受控系统的物理特性来促进这两个社区的融合：（1）基于物理的 CPS 安全； (2) 基于物理的 CPS 隐私。基于物理的 CPS 安全性利用传感器和控制信号的时间序列来检测与预期操作的偏差。尽管该领域还存在一些未解决的问题，但这是安全和控制理论领域不断发展的研究领域。该提案解决了其中一些悬而未决的问题，包括定义捕获控制系统独特操作属性的新评估指标、对模型和异常检测测试的不同提案进行一致评估，以及开发新的工业控制协议解析器。 基于物理的 CPS 隐私侧重于如何指导将公平信息实践原则等一般隐私建议实施到网络物理系统中，利用这些物理系统通常有一个要实现的目标，而这个目标取决于运营商的数据处理策略。该项目的重点是研究隐私和控制性能之间的权衡，并开发工具来指导如何实施数据最小化、数据延迟和数据保留。

项目成果

SAVIOR: Securing Autonomous Vehicles with Robust Physical Invariants

• 发表时间: 2020
• 期刊: 2017 3rd IEEE International Conference on Computer and Communications (ICCC)
• 作者: Raul Quinonez;J. Giraldo;Luis E. Salazar;Erick Bauman;A. Cárdenas;Zhiqiang Lin

DARIA: Designing Actuators to Resist Arbitrary Attacks Against Cyber-Physical Systems

• DOI: 10.1109/eurosp48549.2020.00029
• 发表时间: 2020-09
• 期刊: 2020 IEEE European Symposium on Security and Privacy (EuroS&P)
• 作者: J. Giraldo;Sahand Hadizadeh Kafash;Justin Ruths;A. Cárdenas

MaMIoT: Manipulation of Energy Market Leveraging High Wattage IoT Botnets

MaMIoT：利用高功率物联网僵尸网络操纵能源市场

• DOI: 10.1145/3460120.3484581
• 发表时间: 2021
• 期刊: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security
• 作者: Shekari, Tohid;Irvene, Celine;Cardenas, Alvaro A.;Beyah, Raheem
• 通讯作者: Beyah, Raheem

You Make Me Tremble: A First Look at Attacks Against Structural Control Systems

• DOI: 10.1145/3460120.3485386
• 发表时间: 2021-11
• 期刊: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security
• 作者: Abel Zambrano;Alejandro Betancur;Luis Burbano;Andres Felipe Niño;L. F. Giraldo;Mariantonieta Gutierrez Soto-Mariantonieta-G

Enhancing the Resiliency of Cyber-Physical Systems with Software-Defined Networks

通过软件定义网络增强网络物理系统的弹性

• DOI: 10.1145/3338499.3357356
• 发表时间: 2019
• 期刊: CPS-SPC'19: Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy
• 作者: Salazar, Luis E.;Cardenas, Alvaro A.
• 通讯作者: Cardenas, Alvaro A.