您当前的位置：
首页 >
文章列表页 >
A State-Space Modeling Approach to Behavioral Invariants for Anonymous Proxy Traffic Detection
更新时间：2026-09-16

    • A State-Space Modeling Approach to Behavioral Invariants for Anonymous Proxy Traffic Detection

    • Journal on Communications   (2026)

    • DOI：10.11959/j.issn.1000-436x.TXXB260495    

      CLC： TP309

    • Received：19 August 2026，

      Revised：2026-09-13，

      Accepted：14 September 2026，

    移动端阅览

  • Mao Weixuan, Wang Sheng, Liu Yuxi, et al. A State-Space Modeling Approach to Behavioral Invariants for Anonymous Proxy Traffic Detection[J/OL]. Journal on Communications, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260495.

  •  
  •  

0

Views

0

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
Research on network malicious traffic classification based on parallel branch joint coding
Traffic concealed data detection method based on contrastive learning and pre-trained Transformer
Automatic extraction for the traffic of unknown network applications
Network traffic classification using decision tree based on minimum partition distance

Related Author

Jin Shuyuan
Li Yongfei
Guo Yuanbo
Yang Zhi
Fu Chunhui
ZHANG Ningning
YANG Tianyu
CUI Mengzhen

Related Institution

School of Computer Science and Engineering, Sun Yat-sen University
School of Cyberspace Security, Hainan University
School of Cryptography, Information Engineering University
Ningxia Internet Emergency Center Ningxia Branch
Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West
0