Research on False Data Injection Attack Identification based on CNN-CBAM
【Objective】It is always difficult to timely locate the location of the network attack and achieve rapid deployment of defense strategies when the smart grid is attacked by the network.【Methods】In order to solve this problem, this article proposes a Convolutional Neural Network (CNN) model that integ...
| 出版年: | Guangtongxin yanjiu |
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| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 中国語 |
| 出版事項: |
《光通信研究》编辑部
2024-06-01
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| 主題: | |
| オンライン･アクセス: | http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2024.230125 |