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FATIDS： an IoT intrusion detection method for class⁃imbalanced samples
更新时间：2026-01-23

    • FATIDS： an IoT intrusion detection method for class⁃imbalanced samples

    • “In the field of IoT security, researchers have proposed an intrusion detection method based on FATIDS, which effectively improves detection performance through self attention mechanism and Focal Loss optimization.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 12, Pages: 3986-3999(2025)
    • 作者机构：

      空军工程大学 防空反导学院，西安 710051

    • DOI：10.13229/j.cnki.jdxbgxb.20240403    

      CLC： TP183;TP391.4

    • Received：16 April 2024，

      Published：01 December 2025

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  • WANG Peng,SONG Ya-fei,WANG Xiao-dan,et al.FATIDS： an IoT intrusion detection method for class⁃imbalanced samples[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(12):3986-3999. DOI： 10.13229/j.cnki.jdxbgxb.20240403.

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