DyGCN: Dynamic Graph Convolution Network-based Anomaly Network Traffic Detection

Yonghao Gu; Xiaoqing Zhang; Hao Xu; Tiejun Wu

doi:10.1109/trustcom63139.2024.00253

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JOURNAL ARTICLE

DyGCN: Dynamic Graph Convolution Network-based Anomaly Network Traffic Detection

Yonghao Gu Xiaoqing Zhang Hao Xu Tiejun Wu

Year: 2024 Pages: 1838-1843

DOI: 10.1109/trustcom63139.2024.00253

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Keywords:

Computer science Anomaly detection Convolution (computer science) Computer network Graph Theoretical computer science Data mining Artificial intelligence Artificial neural network

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Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

DyGCN: Dynamic Graph Convolution Network-based Anomaly Network Traffic Detection

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Citation History

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