您当前的位置：
首页 >
文章列表页 >
Graph masked contrastive learning method for insider user behavior anomaly detection
Papers | 更新时间：2026-07-16

    • Graph masked contrastive learning method for insider user behavior anomaly detection

    • Journal on Communications   Vol. 47, Issue 6, Pages: 79-92(2026)

    • DOI：10.11959/j.issn.1000-436x.TXXB260100    

      CLC： TP393.08

    • Received：21 February 2026，

      Revised：2026-04-23，

      Accepted：23 April 2026，

      Published：20 June 2026

    移动端阅览

  • Yuan Lu,Zhang Bin,Jiang Yingchang,et al.Graph masked contrastive learning method for insider user behavior anomaly detection[J].Journal on Communications,2026,47(06):79-92. DOI： 10.11959/j.issn.1000-436x.TXXB260100.

  •  
  •  

0

Views

49

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

CLB-Defense: based on contrastive learning defense for graph neural network against backdoor attack
Few-shot document-level event extraction method for threat intelligence
High-robustness integrated adversarial training method for fingerprint-based indoor localization systems
Traffic concealed data detection method based on contrastive learning and pre-trained Transformer
Improved QAOA based on multi-angle and RY-assisted structure

Related Author

Haiyang XIONG
Yayu ZHENG
Haonan MA
Jinyin CHEN
WANG Jinfang
DENG Miaolei
GUO Yuanbo
TANG Mengmeng

Related Institution

Institute of Cyberspace Security, Zhejiang University of Technology
College of Information Engineering, Zhejiang University of Technology
School of Cyberspace Security, Hainan University
School of Information Science and Engineering, Henan University of Technology
National Key Laboratory of Security Communication
0