Spatio-temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Smart power grids are vulnerable to security threats due to their cyber-physical nature. Existing data-driven detectors aim to address simple traditional false data injection attacks (FDIAs). However, adversarial false data injection evasion attacks (FDIEAs) present a more serious threat as adversar...

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Bibliographic Details

Published in:	IEEE transactions on artificial intelligence Vol. 5; no. 12; pp. 6601 - 6616
Main Authors:	Takiddin, Abdulrahman, Ismail, Muhammad, Atat, Rachad, Serpedin, Erchin
Format:	Journal Article
Language:	English
Published:	IEEE 01.12.2024
Subjects:	Accuracy Artificial intelligence Cyber-physical systems security cyberattacks Detectors evasion attacks false data injection attacks (FDIAs) graph autoencoder graph neural networks (GNNs) machine learning Robustness Smart grids Topology Training
ISSN:	2691-4581, 2691-4581
Online Access:	Get full text
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