Integrated Framework for Detection and Mitigation of GPS Spoofing Attacks in Smart Grids

智能电网中 GPS 欺骗攻击检测和缓解的集成框架

基本信息

  • 批准号:
    1719043
  • 负责人:
  • 金额:
    $ 39.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-08-01 至 2022-03-31
  • 项目状态:
    已结题

项目摘要

The Global Positioning System is one of the nation's most critical infrastructures, which provides precise timing and location to a host of systems and applications. Examples include air, sea, and land transportation, telecommunications, financial transactions, real-time industrial control systems, and most importantly, the electrical power grid. Specifically, reliable operation of the future electrical power grids depends on the availability of grid measurements with precise timing that is enabled by the Global Positioning System's time-synchronization technology. Although this system is very reliable, it is vulnerable to malicious spoofing cyber-attacks that disrupt the time synchronization of measurements. This consequently misleads the seamless operation of the infrastructures relying on it. For example, these attacks have ramifications on the electrical power grid, including power outages with dire socio-economic implications. The theme of this project is the real-time detection and mitigation of such attacks on the Global Positioning System with applications in power grids. Spoofing attacks manifest themselves at different physical layers including the signals aggregated by the Global Positioning System receiver, the time and location computed by the receiver, and eventually the voltage and current phasor measurements collected from Phasor Measurement Units in the electrical grid. Novel, rigorous, and comprehensive models of the spoofing effects on the Global Positioning System receiver as well as the power grid operation are put forth. Leveraging the novel models, this research additionally furnishes advanced methods to detect the attacks and ultimately protect the grid from their harmful effects. Specifically, online spoofing detection schemes are developed using sparsity-based optimization formulations. These schemes are able to detect and isolate unnatural changes in the received satellite signals and the associated time and location solutions. Based on a novel measurement model that directly relates the spoofing attack with the electrical network state, dynamic algorithms are developed to maintain an accurate state estimate of the power grid, while seamlessly restoring grid stability in the presence of attacks.
全球定位系统是美国最重要的基础设施之一,它为许多系统和应用提供精确的时间和位置。例子包括空中,海上和陆地运输,电信,金融交易,实时工业控制系统,最重要的是,电网。具体来说,未来电网的可靠运行取决于全球定位系统时间同步技术支持的具有精确定时的电网测量的可用性。虽然该系统非常可靠,但它容易受到恶意欺骗网络攻击,破坏测量的时间同步。因此,这些攻击误导了依赖这些攻击的基础设施的顺利运作,例如,这些攻击对电网产生影响,包括造成严重社会经济影响的停电。该项目的主题是实时检测和缓解对全球定位系统的攻击,并将其应用于电网。欺骗攻击在不同的物理层上表现出来,包括由全球定位系统接收器聚合的信号、由接收器计算的时间和位置,以及最终从电网中的相量测量单元收集的电压和电流相量测量。 提出了新的,严格的,全面的模型的欺骗效应的全球定位系统接收机以及电网运行。利用新的模型,这项研究还采用了先进的方法来检测攻击,并最终保护电网免受其有害影响。具体而言,在线欺骗检测方案开发使用基于稀疏性的优化配方。这些方案能够检测和隔离所接收的卫星信号以及相关联的时间和位置解决方案中的非自然变化。基于一种新的测量模型,直接与欺骗攻击与电网状态,动态算法的开发,以保持一个准确的状态估计的电网,同时无缝恢复电网的稳定性,在攻击的存在。

项目成果

期刊论文数量(13)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Evaluation of the detection and mitigation of time synchronization attacks on the global positioning system
全球定位系统时间同步攻击的检测和缓解评估
  • DOI:
    10.1109/plans.2018.8373528
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Khalajmehrabadi, Ali;Gatsis, Nikolaos;Akopian, David
  • 通讯作者:
    Akopian, David
Real-Time Rejection and Mitigation of Time Synchronization Attacks on the Global Positioning System
  • DOI:
    10.1109/tie.2017.2787581
  • 发表时间:
    2018-08-01
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    Khalajmehrabadi, Ali;Gatsis, Nikolaos;Taha, Ahmad F.
  • 通讯作者:
    Taha, Ahmad F.
Rejection of Smooth GPS Time Synchronization Attacks via Sparse Techniques
  • DOI:
    10.1109/jsen.2020.3014239
  • 发表时间:
    2021-01-01
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Schmidt, Erick;Lee, Junhwan;Akopian, David
  • 通讯作者:
    Akopian, David
Anti-Spoofing Technique Against GPS Time and Position Attacks Based on Sparse Signal Processing
基于稀疏信号处理的GPS时间和位置攻击反欺骗技术
A GPS Spoofing Detection and Classification Correlator-Based Technique Using the LASSO
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Nikolaos Gatsis其他文献

Model Explainable AI Method for Fault Detection in Inverter-Based Distribution Systems
基于逆变器的配电系统故障检测的模型可解释人工智能方法
Modeling and studying the impact of dynamic reactive current limiting in grid-following inverters for distribution network protection
建模并研究动态无功电流限制对并网逆变器对配电网保护的影响
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Reynaldo S. Gonzalez;V. Aryasomyajula;K. S. Ayyagari;Nikolaos Gatsis;M. Alamaniotis;Sara Ahmed
  • 通讯作者:
    Sara Ahmed
Receding Horizon Control for Drinking Water Networks: The Case for Geometric Programming
饮用水网络的后退地平线控制:几何规划案例
Co-Optimization of Interdependent Water and Power Distribution Networks
相互依赖的供水和供电网络协同优化
Power Control With Imperfect Exchanges and Applications to Spectrum Sharing
不完善交换的功率控制及其在频谱共享中的应用

Nikolaos Gatsis的其他文献

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{{ truncateString('Nikolaos Gatsis', 18)}}的其他基金

CAREER: Optimal Interdependent Operation of Electricity Distribution Grids and Water Distribution Systems in Smart Cities
职业:智慧城市中配电网和供水系统的最佳相互依存运行
  • 批准号:
    1847125
  • 财政年份:
    2019
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Continuing Grant
Collaborative Research: EAGER-DynamicData: Machine Intelligence for Dynamic Data-Driven Morphing of Nodal Demand in Smart Energy Systems
合作研究:EAGER-DynamicData:智能能源系统中节点需求动态数据驱动变形的机器智能
  • 批准号:
    1462404
  • 财政年份:
    2015
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: From Communication to Power Networks: Adaptive Energy Management for Power Systems with Renewables
CIF:小型:合作研究:从通信到电力网络:可再生能源电力系统的自适应能源管理
  • 批准号:
    1421583
  • 财政年份:
    2014
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant

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