您当前的位置:
首页 >
文章列表页 >
Wireless Authentication Method Based on Near-Field Feature Fusion Network
更新时间:2025-06-09
    • Wireless Authentication Method Based on Near-Field Feature Fusion Network

    • New progress has been made in the research of identity authentication based on WiFi perception, and a wireless identity authentication method based on near-field feature fusion network has been proposed, with an average recognition accuracy of 97.5%, providing a new solution for identity recognition.
    • Advanced Engineering Sciences   Pages: 1-12(2025)
    • DOI:10.12454/j.jsuese.202400792    

      CLC: TN92
    • Received:29 September 2024

      Published Online:06 June 2025

    移动端阅览

  • QIU Jiefan,ZHOU Kezhong,ZHU Dongfu,et al.Wireless Authentication Method Based on Near-Field Feature Fusion Network[J].Advanced Engineering Sciences, DOI:10.12454/j.jsuese.202400792网络首发版.

  •  
  •  

0

Views

1

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

Research Framework and Anticipated Results of Key Technologies for Distributed Certificate-less Network Identity Systems
Group Authentication Key Agreement Protocol Based on Certificateless Cryptography in UAV Network
Human Action Recognition Method Based on Multi-channel Fusion
Detection and Tracking Method of Floating Objects on Water Surface Based on Improved SSD Model and Adaptive Filtering Algorithm
Depression Auxiliary Detection by EEG Based on Modified VGG–16 and Channel Attention Mechanism

Related Author

NIU Weina
XIE Guotao
GUI Xun
ZHANG Xiaosong
CAO Sheng
LU Tianbo
YANG Kun
Yuecheng WANG

Related Institution

China Information Telecommunication Design & Consulting Institute Company Limited
School of Cyber Science and Technology, Zhejiang University
The State Key Laboratory of Blockchain and Data Security, Zhejiang University
School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications
Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China
0