Feb 12, 2024 · The DAMGAT introduces a dual-attention mechanism that incorporates both node feature attention and spatial topology attention into a multi-head ...
The DAMGAT introduces a dual-attention mechanism that incorporates both node feature attention and spatial topology attention into a multi-head graph attention ...
Jul 24, 2024 · The DAMGAT introduces a dual-attention mechanism that incorporates both node feature attention and spatial topology attention into a multi-head ...
DAMGAT-Based Interpretable Detection of False Data Injection Attacks in Smart Grids. X. Su, C. Deng, J. Yang, F. Li, C. Li, Y. Fu, and Z. Dong. IEEE Trans.
The aim of this paper is to address these problems by using the graph structure of the grid and the AC power flow model. We derive an attack detection method ...
FDIAs are a new attack mode that maliciously tampers with the measurement data collected by the smart grid supervisory control and data acquisition (SCADA) ...
Feb 3, 2023 · This paper proposes an attack-detection algorithm based on statistical learning according to the different characteristic parameters of measurement error ...
Missing: DAMGAT- Interpretable
People also ask
What is false data injection attacks in smart grid?
Jan 1, 2021 · A data-driven learning-based algorithm for detecting unobservable FDIAs in distribution systems using autoencoders for efficient dimension ...
DAMGAT Based Interpretable Detection of False Data Injection Attacks in Smart Grids. IEEE Transactions on …, 2024. [4], Command Injection Attacks in Smart ...
This paper proposes an approach based on the graph neural network (GNN) to identify the presence and location of the FDIA and shows that the proposed ...