Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

Journal of Cloud Computing

Advances, Systems and Applications

Table 3 Summary of experiments results

Model	Predictors	MAE	MSE	RMSE	MAPE	MDAPE	Train time	Predict time	Cross-validation time	Code memory	Cross-validation memory	Distance DTW
Prophet	70	0.216	0.081	0.270	1.188	1.107	7.37 s	2.39 s	907.8 s	500,723	63,928,333	4.063
Prophet with FS	10	0.122	0.032	0.171	0.685	0.436	1 s	2.05 s	21 s	457,118	63,895,858	2.209
DIFF	60	0.906	0.051	0.101	0.503	0.671	6.3 s	0.34 s	886.8 s	43,605	32,475	1.854