Energy big data analytics from a cybersecurity perspective

网络安全视角下的能源大数据分析

• 批准号: DP190103660
• 负责人: Prof Jiankun Hu
• 金额: $ 27.14万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-05-31 至 2023-05-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190103660
• 关键词: Energy; big; data; analytics; cybersecurity

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.

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科普实时紧密的网络物理耦合以及智能电网系统的安全性/安全性的研究挑战。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来检测传统上被认为是不可观察的虚假数据注入攻击。该项目将有助于加强我国重要基础设施的安全。