False data injection attack sample generation using an adversarial attention-diffusion model in smart grids

A false data injection attack (FDIA) indicates that attackers mislead system decisions by inputting false or tampered data into the system, which seriously threatens the security of power cyber-physical systems. Considering the scarcity of FDIA attack samples, the traditional FDIA detection models b...

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Bibliographic Details
Main Authors: Kunzhan Li, Fengyong Li, Baonan Wang, Meijing Shan
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Energy
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Online Access:https://www.aimspress.com/article/doi/10.3934/energy.2024058
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