Collaborative Research: Defense against Measurement Attacks on the Power Grid

合作研究：防御电网测量攻击

• 批准号: 1824577
• 负责人: Chen-Ching Liu
• 金额: $ 20万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-10 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824577&HistoricalAwards=false
• 关键词: Collaborative; Research; Defense; against; Measurement

As the power grid becomes increasingly dependent on connectivity through information and communications technology, this critical infrastructure faces significant threats from cyber attacks. Among various cyber attacks, measurement attacks achieve goals by falsifying measurements to manipulate control commands. Four cohesive research thrusts are proposed to develop: (i) a unified analytical framework to characterize the impact conditions of measurement attacks on the large-scale, dynamic power grid. (ii) methods to identify coordinated measurement attacks that are launched from non-collusive groups, (iii) fast and accurate detection algorithms considering critical response time of the grid, and (iv) defense strategies at multiple levels of the grid to deter repetitive attacks at critical targets. The research results will be validated on a cyber-physical power grid test bed in realistic settings. Intellectual Merit: This project is among the first aiming to develop an analytical framework for diverse coordinated measurement attacks on the dynamic power grid. It will address important challenges of identifying attack goals and intercepting potential threats in realistic settings. This framework will not only enable us to develop more effective defense mechanisms for the power grid, but also bring important insights of cyber-physical causal chains in dynamic systems to other research communities. This project is also among the few that unify the cyber-protection capabilities and grid context information with system-theoretic approaches. It will result in algorithmic tools that integrate the defense efforts on multiple levels of the grid, vertically enhancing grid security while reducing the overall defense cost.Broader Impacts: This project will entailer transformative impact through real-world applications in the power industry and extensive educational initiatives at Ohio State University (OSU) and Washington State University (WSU). Both PIs have strong collaborations with power utilities, power technology companies, and national laboratories, which will facilitate the dissemination of research outcomes into security solutions based on real-world requirements. Education is emphasized by leveraging multiple outreach activities at OSU and WSU. This project will also result in one graduate level course, and several online education modules to be made available to institutions nationwide.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.

随着电网越来越依赖于信息和通信技术的连接，这一关键基础设施面临着来自网络攻击的重大威胁。在各种网络攻击中，测量攻击通过伪造测量值来操纵控制命令来达到目的。提出了四个有凝聚力的研究重点：(i)一个统一的分析框架，以表征测量攻击对大规模动态电网的影响条件。（ii）识别非串通团体发起的协调测量攻击的方法，（iii）考虑电网关键响应时间的快速准确检测算法，以及（iv）电网多层次防御策略，以阻止对关键目标的重复攻击。研究结果将在现实环境下的网络物理电网测试台上进行验证。智力优势：该项目是首批旨在开发针对动态电网的各种协调测量攻击的分析框架的项目之一。它将解决在现实环境中识别攻击目标和拦截潜在威胁的重要挑战。该框架不仅使我们能够为电网开发更有效的防御机制，而且还为其他研究社区带来动态系统中网络物理因果链的重要见解。该项目也是为数不多的将网络保护能力和网格上下文信息用系统理论方法统一起来的项目之一。这将导致算法工具在网格的多个层面上集成防御工作，垂直增强网格安全性，同时降低总体防御成本。更广泛的影响：该项目将通过电力行业的实际应用以及俄亥俄州立大学（OSU）和华盛顿州立大学（WSU）广泛的教育倡议，带来变革性的影响。这两个pi都与电力公司、电力技术公司和国家实验室有密切的合作，这将有助于将研究成果传播到基于现实需求的安全解决方案中。通过利用俄勒冈州立大学和华盛顿州立大学的多种外展活动来强调教育。该项目还将为全国院校提供一门研究生水平课程和几个在线教育模块。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。

项目成果

Intrusion Detection Against MMS-Based Measurement Attacks at Digital Substations

• DOI: 10.1109/access.2020.3047341
• 发表时间: 2021
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Ruoxi Zhu;Chen-Ching Liu;Junho Hong;Jiankang Wang

Cyber Attack and Defense for Smart Inverters in a Distribution System

配电系统智能逆变器的网络攻击与防御

• 发表时间: 2019
• 期刊: Finland
• 作者: Sun, C. C.;Zhu, R.;Liu, C. C.
• 通讯作者: Liu, C. C.

Cyber System Recovery for IEC 61850 Substations

IEC 61850 变电站的网络系统恢复

• DOI: 10.1109/isgt49243.2021.9372195
• 发表时间: 2021
• 期刊: 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT
• 作者: Zhu, Ruoxi;Hong, Junho;Liu, Chen-Ching;Wang, Jiankang
• 通讯作者: Wang, Jiankang