Work

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

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI: 10.1109/trustcom63139.2024.00253

Authors: Yonghao Gu, Xiaoqing Zhang, Hao Xu, Tiejun Wu

Institution: Beijing University of Posts and Telecommunications

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4409156641

FWCI: 0.886

Cites: 15

Cited by: 2

Related to: 10