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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2024-12-01
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| Series: | AIMS Energy |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/energy.2024058 |
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