Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model

Journal of Cloud Computing

Advances, Systems and Applications

Table 5 Comparison of the results of each anomaly detection algorithm under the CIC-IDS 2017 dataset

Dataset	Models	Accuracy	Precision	Recall	F-score
CIC-IDS 2017	Isolation Forest	0.89	0.83	0.81	0.82
	K-means	0.87	0.81	0.79	0.80
	OC-SVM	0.90	0.84	0.81	0.82
	DAGMM	0.91	0.84	0.87	0.85
	CAE-GMM	0.95	0.92	0.91	0.91
	Model of this paper	0.9986	0.9978	1.0000	0.9989