Improved Convolutional Neural Network-Based Localization Method for False Data Injection Attacks on Power Grids
System Analysis & Operation|更新时间:2025-10-13
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Improved Convolutional Neural Network-Based Localization Method for False Data Injection Attacks on Power Grids
“A new method for detecting false data injection attacks, utilizing an improved seagull optimized convolutional neural network, effectively improves classification performance and accuracy.”
Southern Power System TechnologyVol. 19, Issue 1, Pages: 74-84(2025)
作者机构:
1.三峡大学电气与新能源学院,湖北 宜昌 443002
2.三峡大学梯级水电站运行与控制湖北省重点实验室,湖北 宜昌 443002
作者简介:
基金信息:
the National Natural Science Foundation of China(52277108;S2477104)
XI Lei,CHENG Chen,TIAN Xilong.Improved Convolutional Neural Network-Based Localization Method for False Data Injection Attacks on Power Grids[J].Southern Power System Technology,2025,19(01):74-84.
XI Lei,CHENG Chen,TIAN Xilong.Improved Convolutional Neural Network-Based Localization Method for False Data Injection Attacks on Power Grids[J].Southern Power System Technology,2025,19(01):74-84. DOI: 10.13648/j.cnki.issn1674-0629.2025.01.008.
Improved Convolutional Neural Network-Based Localization Method for False Data Injection Attacks on Power Grids