您当前的位置：
首页 >
文章列表页 >
Research on network malicious traffic classification based on parallel branch joint coding
Papers | 更新时间：2025-09-23

    • Research on network malicious traffic classification based on parallel branch joint coding

    • Journal on Communications   Vol. 46, Issue 8, Pages: 193-204(2025)

    • DOI：10.11959/j.issn.1000-436x.2025154    

      CLC： TN919

    • Received：21 April 2025，

      Revised：2025-08-20，

      Accepted：21 August 2025，

      Published：25 August 2025

    移动端阅览

  • MA Ziqiang,CUI Mengzhen,YANG Tianyu,et al.Research on network malicious traffic classification based on parallel branch joint coding[J].Journal on Communications,2025,46(08):193-204. DOI： 10.11959/j.issn.1000-436x.2025154.

  •  
  •  

0

Views

786

下载量

0

CSCD

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

Related Articles

Fine-grained recognition method for encrypted FTP commands based on temporal dual-mode feature fusion
Trajectory reconstruction attacks on differential privacy based on a CNN-BiLSTM-Attention hybrid model
Automatic extraction for the traffic of unknown network applications
Network traffic classification using decision tree based on minimum partition distance

Related Author

ZHANG Ningning
Jin Shuyuan
Fu Chunhui
Yang Zhi
Guo Yuanbo
Li Yongfei
ZHAO Yongxin
LIU Zheli

Related Institution

Ningxia Branch of the National Computer Network Emergency Response Technical Team/Coordination Center
School of Computer Science and Engineering, Sun Yat-sen University
School of Cyberspace Security, Hainan University
School of Cryptography, Information Engineering University
School of Computer Science and Engineering, Tianjin University of Technology
0