Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids

  title={Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids},
  author={Subhash Lakshminarayana and Saurav Sthapit and Carsten Maple},
Advances in edge computing are powering the development and deployment of Internet of Things (IoT) systems in an effort to provide advanced services and resource efficiency. However, large-scale IoT-based load-altering attacks (LAAs) can have a serious impact on power grid operations such as destabilizing the grid’s control loops. Timely detection and identification of any compromised nodes is important to minimize the adverse effects of these attacks on power grid operations. In this work, we… 
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