MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning
Yunfeng Duan(China Mobile (China)), Chun Zhang(Shantou University), Zehua Gao(Beijing University of Posts and Telecommunications), Fanqin Zhou(Beijing University of Posts and Telecommunications), Chen Guo(University of Science and Technology of China), Chenxu Li(Hebei Agricultural University), Jiaxing Chen(China Mobile (China)), Guotao Bai(China Mobile (China))
Journal of Cloud Computing Advances Systems and Applications
August 28, 2023
Cited by 6
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