Defense of Massive False Data Injection Attack via Sparse Attack Points Considering Uncertain Topological Changes

False data injection attack (FDIA) is a typical cyber-attack aiming at falsifying measurement data for state estimation (SE), which may incur catastrophic consequences on cyber-physical system operation. In this paper, we develop a deep learning based methodology for detection, localization, and dat...

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Bibliographic Details

Published in:	Journal of Modern Power Systems and Clean Energy
Main Authors:	Xiaoge Huang, Zhijun Qin, Ming Xie, Hui Liu, Liang Meng
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	False data injection attack auto-encoder generative adversarial network state estimation cyber security
Online Access:	https://ieeexplore.ieee.org/document/9527999/