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Intrusion detection for industrial internet of things based on federated learning and self-attention
更新时间：2025-05-26

    • Intrusion detection for industrial internet of things based on federated learning and self-attention

    • “In the field of industrial Internet of Things, the Fedformer model effectively improves the accuracy of network attack detection and reduces false alarm rates through federated deep learning algorithms.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 11, Pages: 3229-3237(2023)
    • 作者机构：

      沈阳化工大学 计算机科学与技术学院，沈阳 110142

    • DOI：10.13229/j.cnki.jdxbgxb.20221027    

      CLC： TP399

    • Received：13 August 2022，

      Published：01 November 2023

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  • WANG Jun,WANG Hua-lin,HUANG Bo-wen,et al.Intrusion detection for industrial internet of things based on federated learning and self-attention[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(11):3229-3237. DOI： 10.13229/j.cnki.jdxbgxb.20221027.

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