您当前的位置：
首页 >
文章列表页 >
Node attack detection algorithm for complex networks based on incremental learning
更新时间：2025-05-26

    • Node attack detection algorithm for complex networks based on incremental learning

    • “In the field of network security, experts have proposed a complex network node attack detection algorithm based on incremental learning, which achieves accurate detection of node attacks and provides a new solution for network security protection.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 10, Pages: 2963-2968(2024)
    • 作者机构：

      兰州交通大学 电子与信息工程学院，兰州 730070

    • DOI：10.13229/j.cnki.jdxbgxb.20230501    

      CLC： TM764.22

    • Received：16 April 2024，

      Published：01 October 2024

    移动端阅览

  • YANG Zhi-fei,ZHANG Jia,LI Ze-yang.Node attack detection algorithm for complex networks based on incremental learning[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(10):2963-2968. DOI： 10.13229/j.cnki.jdxbgxb.20230501.

  •  
  •  

0

Views

11

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

Discrimination method for Pu-er tea varieties based on noise-robust feature extraction
Rolling bearing fault diagnosis method via wavelet packet logarithmic-energy map
Feature extraction of speech signals of exoskeleton devices in noise environments
Cascading failure model based on adjustable redistribution of traffic flow
Design of big data anomaly detection model based on random forest algorithm

Related Author

ZHAO Xiu-zhi
XIE De-hong
CUI Yue-lei
LI Yang
WANG Zi-cong
WANG Na
SU Zhen-xing
SUN Xian-tao

Related Institution

College of Information Science and Technology， Nanjing Forestry University
School of Computer and Artificial Intelligence， Wenzhou University
College of Artificial Intelligence， Zhejiang Industry& Trade Vocational College
Key Laboratory of Intelligent Control of Electrical Equipment
School of Control Science and Engineering， Tiangong University
0