Journal of Cloud Computing

Advances, Systems and Applications

Table 4 Performance comparison of algorithmic models

From: MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning

Method	Precision	Recall	F1
SNMP	0.5964	0.6274	0.6115
5Hz INT	0.8895	0.7399	0.8079
15Hz INT	0.9469	0.7624	0.8447
25Hz INT	0.9779	0.8987	0.9366
50Hz INT	0.9886	0.9974	0.9942

Back to article page