您当前的位置：
首页 >
文章列表页 >
Research on distributed network intrusion detection system for IoT based on honeyfarm
Papers | 更新时间：2024-05-31

    • Research on distributed network intrusion detection system for IoT based on honeyfarm

    • Journal on Communications   Vol. 45, Issue 1, Pages: 106-118(2024)

    • DOI：10.11959/j.issn.1000-436x.2024020    

      CLC： TN929.5

    • Online First：2024-01，

      Published：25 January 2024

    移动端阅览

  • Hao WU, Jiajia HAO, Yunlong LU. Research on distributed network intrusion detection system for IoT based on honeyfarm[J]. Journal on Communications, 2024, 45(1): 106-118. DOI： 10.11959/j.issn.1000-436x.2024020.

  •  
  •  

0

Views

1192

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

Dynamic compression method for federated learning based on feature information in ISAC networks
DPBR-Adapt: a hierarchically adaptive differential privacy defence scheme for federated learning
Personalized differential privacy federated learning method for collaborative spectrum sensing
Federated learning with differential privacy recalibration for dynamic computing nodes
HFLGuard: clustering and autoencoder-based defense method against heterogeneous federated poisoning

Related Author

Deng Bingguang
Peng Jiayin
Hu Ronglei
Bai Chenyang
Wei Zhanzhen
Han Yanyan
Duan Xiaoyi
Zhang Hao

Related Institution

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
Department of Electronic and Communication Engineering, Beijing Electronic Science and Technology Institute
School of Information Engineering, Minzu University of China
School of Automation, Guangdong University of Technology
School of Cyberspace Security, Beijing Jiaotong University
0