您当前的位置:
首页 >
文章列表页 >
Network behavior twin-driven traffic anomaly detection for the Internet of things
Papers | 更新时间:2026-04-02
    • Network behavior twin-driven traffic anomaly detection for the Internet of things

    • Journal on Communications   Vol. 47, Issue 3, Pages: 156-169(2026)
    • DOI:10.11959/j.issn.1000-436x.2026040    

      CLC: TP391
    • Received:02 December 2025

      Revised:2026-02-06

      Accepted:09 February 2026

      Published:20 March 2026

    移动端阅览

  • He Gaofeng,Tian Jianzheng,Li Yawen,et al.Network behavior twin-driven traffic anomaly detection for the Internet of things[J].Journal on Communications,2026,47(03):156-169. DOI: 10.11959/j.issn.1000-436x.2026040.

  •  
  •  

0

Views

180

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

Cooperative optimization method for inference on multi-chiplet large-model accelerators
Research on network configuration analysis technology empowered by large language models
ResilM-IBN: multi-agent framework for self-healing network management
Bit-oriented analysis and power-equilibrated countermeasures for side-channel resistant symmetric cryptography

Related Author

Guo Naixuan
Fang Juan
Pan Chenyang
Gu Minghui
Li Shuopeng
Chen Huijie
Zhai Ran
Li Pengfei

Related Institution

College of Computer Science, Beijing University of Technology
College of Military Intelligence, Academy of Military Science
College of Computer Science and Technology, National University of Defense Technology
School of Information and Electronic Engineering, Zhejiang Gongshang University
University Key Laboratory of Internet of Things Technology and Application of Yunnan Province
0