BOOK-CHAPTER
Malicious Domain Detection with Heterogeneous Graph Propagation Network
Cheng HuFangfang YuanYanbing LiuCong CaoChunyan ZhangJianlong Tan
Year: 2022 Lecture notes in computer science Pages: 545-556 Publisher: Springer Science+Business Media
Keywords:
Computer science Domain (mathematical analysis) Graph The Internet Fusion mechanism Data mining Theoretical computer science Fusion World Wide Web
Metrics
2
Cited By
1.30
FWCI (Field Weighted Citation Impact)
10
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Network Security and Intrusion Detection
Physical Sciences → Computer Science → Computer Networks and Communications
Internet Traffic Analysis and Secure E-voting
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Graph Neural Networks
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
BOOK-CHAPTER
Heterogeneous Graph Attention Network for Malicious Domain Detection
Zhiping LiFangfang YuanYanbing LiuCong CaoFang FangJianlong Tan
Lecture notes in computer science Year: 2022 Pages: 506-518
JOURNAL ARTICLE
Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection
Shuai ZhangZhou ZhouDa LiYoubing ZhongQingyun LiuWei YangShu Li
Year: 2021 Pages: 397-403
JOURNAL ARTICLE
HGDom: Heterogeneous Graph Convolutional Networks for Malicious Domain Detection
Sun Xiao-qingJiahai YangZhiliang WangHeng Liu
Year: 2020 Pages: 1-9
JOURNAL ARTICLE
Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning
Yi GaoFangfang YuanCong CaoMajing SuDakui WangYanbing Liu
Year: 2023 Pages: 727-732
JOURNAL ARTICLE
Deepdom: Malicious domain detection with scalable and heterogeneous graph convolutional networks
Xiaoqing SunZhiliang WangJiahai YangXinran Liu
Journal: Computers & Security Year: 2020 Vol: 99 Pages: 102057-102057