Career: Towards Secured and Efficient Energy-based Critical Infrastructure

该项目的目标是为智能电网中安全和高效的能源资源管理建立理论和经验基础-智能电网是一个典型的基于能源的网络物理系统，也是国家未来的关键能源基础设施。然而，智能电网作为一个大的分布式复杂系统，其运行本身就存在着各种不确定性，这些不确定性可以由自然灾害、恶意攻击、分布式可再生能源、插电式电动汽车、能源使用习惯和天气等引起。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业务和最终用户的影响，并将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，并将为设计安全和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。具体地说，将为安全和有效的能源管理制定一个建模框架，以量化来自网络电网和物理电网的不确定性。将开发基于统计建模、数据挖掘、预测等技术来高效管理能源资源。在该框架的基础上，从关键功能模块、攻击场所、对手能力、系统知识等方面对系统运行和终端用户的攻击空间进行了系统的研究。基于对攻击的深入理解，将开发新的攻击预防、检测和属性攻击方案。将开发一个集成的网络和物理电网仿真工具和试验床，以使用现实场景来评估所提出的建模框架和技术。这个项目将把研究、教育和推广结合起来。该项目的成果将纳入课程编制，并为研究生和本科生提供研究和教育机会，包括代表人数不足的少数群体和网络服务队：服务学生奖学金。

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.