您当前的位置：
首页 >
文章列表页 >
Anomaly Detection for AFTN Messages Based on β -Variational Autoencoder
更新时间：2026-03-12

    • Anomaly Detection for AFTN Messages Based on β -Variational Autoencoder

    • “A new breakthrough has been made in the field of aviation communication, and experts have proposed an AFTN message anomaly detection method based on β - VAE, providing an effective solution to address network security threats.”
    • Advanced Engineering Sciences   Pages: 1-7(2026)

    • DOI：10.12454/j.jsuese.202500973    

      CLC： TP391.4

    • Received：21 December 2025，

      Online First：12 March 2026，

    移动端阅览

  • WANG Jing-wen,SU Li-si,WANG Liang,et al.Anomaly Detection for AFTN Messages Based on β -Variational Autoencoder[J].Advanced Engineering Sciences, DOI：10.12454/j.jsuese.202500973.XXXX,XX(XX):1‒7.

  •  
  •  

0

Views

0

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Intelligent Identification Methods for Stratigraphic Structure and Rock Mass Shear Strength Parameters in Mining Rock Slopes Using Drilling Data
Network Anomaly Detector Based on Multiple Time Series Analysis
Improved Fruit Fly Optimization Algorithm Based on Population Density and Its Application in Anomaly Detection

Related Author

Yuwei FANG
Zeqing JIA
Teng WANG
Hui QIN
Yonghui ZHANG
Zhenjun WU
Hua TANG
Xu CHENG

Related Institution

State Key Lab. of Geomechanics and Geotechnical Eng., Inst. of Rock and Soil Mechanics, Chinese Academy of Sciences
Univ. of Chinese Academy of Sciences
Yunnan Inst. of Transport Planning and Design Co., Ltd.
Yunnan Inst. of transportation planning and design
四川大学 网络空间安全研究院四川
0