Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids. (arXiv:2206.12527v1 [eess.SP])

This study employs Infinite Impulse Response (IIR) Graph Neural Networks
(GNN) to efficiently model the inherent graph network structure of the smart
grid data to address the cyberattack localization problem. First, we
numerically analyze the empirical frequency response of the Finite Impulse
Response (FIR) and IIR graph filters (GFs) to approximate an ideal spectral
response. We show that, for the same filter order, IIR GFs provide a better
approximation to the desired spectral response and they also present the same …

cyberattack networks neural networks response smart