Energy big data analytics from a cybersecurity perspective

该项目旨在从安全和隐私角度开发能源大数据分析框架。与社交网络大数据分析等其他大数据分析不同，能源大数据分析涉及如何应对实时紧密的网络-物理耦合以及智能电网系统的安全/安全的研究挑战。该项目将开发先进的数据驱动算法，能够检测可能导致灾难性级联故障的协调网络攻击；并开发新的解决方案，以检测传统上被认为不可观察的虚假数据注入攻击。该项目将带来加强我们国家关键基础设施安全的好处。

This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.