Career: Towards Secured and Efficient Energy-based Critical Infrastructure

该项目的目标是为智能电网（典型的基于能源的网络物理系统和国家未来的关键能源基础设施）中安全高效的能源管理建立理论和经验基础。然而，智能电网作为一个庞大的分布式复杂系统，其运行本身就存在各种不确定性，如自然灾害、恶意攻击、分布式可再生能源、插电式电动汽车、能源使用习惯、天气等。这些不确定性使得安全高效的能源管理系统的开发具有挑战性。为了解决这一具有挑战性的问题，将开发一种新的建模框架和技术来处理这些不确定性。将研究威胁及其对系统操作和最终用户的影响，并制定有效的防御方案。该项目的成果将对高等教育系统和国民经济产生更广泛的影响，并将为设计安全高效的能源关键基础设施提供科学基础。该项目的贡献包括：智能电网研究和教育的理论框架、技术和工具包。具体而言，将开发一个安全有效的能源管理建模框架，以量化来自网络和物理电网的不确定性。将开发基于统计建模、数据挖掘、预测和其他技术来有效地管理能源资源。在此基础上，从关键功能模块、攻击场所、对手能力、系统知识等方面系统研究了针对系统运行和最终用户的攻击空间。基于对攻击的深入理解，将开发新的攻击防范、检测和属性化方案。将开发一个集成的网络和物理电网仿真工具和测试平台，以使用现实场景评估所提出的建模框架和技术。这个项目将整合研究、教育和推广。该项目的成果将纳入课程开发，并为研究生和本科生提供研究和教育机会，包括代表性不足的少数民族和赛博军团：服务奖学金学生。

The goal of this project is to establish a theoretical and empirical foundation for secured and efficient energy resource management in the smart grid - a typical energy-based cyber-physical system and the future critical energy infrastructure for the nation. However, as a large distributed and complex system, the smart grid inherently operates under the presence of various uncertainties, which can be raised from natural disasters, malicious attacks, distributed renewable energy resources, plug-in electrical vehicles, habits of energy usage, and weather. These uncertainties make the development of a secured and efficient energy resource management system challenging. To address this challenging problem, a novel modeling framework and techniques to deal with these uncertainties will be developed. Threats and their impact on both system operations and end users will be studied and effective defensive schemes will be developed. The outcomes of this project will have broader impacts on the higher education system and national economy and will provide a scientific foundation for designing a secured and efficient energy-based critical infrastructure. The contributions of this project include: a theoretical framework, techniques, and toolkits for smart grid research and education. Specifically, a modeling framework for secured and efficient energy resource management will be developed to quantify uncertainties from both the cyber and physical power grids. Techniques based on statistical modeling, data mining, forecasting, and others will be developed to manage energy resources efficiently. Based on the developed framework, the space of attacks against system operations and end users from key function modules, attack venue, abilities of adversaries, and system knowledge will be studied systematically. Based on the deep understanding of attacks, novel schemes to prevent, detect, and attribute attacks will be developed. An integrated cyber and physical power grid simulation tool and testbed will be developed to evaluate the proposed modeling framework and techniques using realistic scenarios. This project will integrate research, education, and outreach. The outcomes of the project will be integrated into curriculum development and provide research and educational opportunities for both graduate and undergraduate students, including underrepresented minorities and CyberCorps: Scholarship for Service students.