Applying Catastrophe Theory for Network Anomaly Detection in Cloud Computing Traffic

Table 3

Misclassification rate, precision, and F-measure improvement in each day of test data between Xiong et al. and proposed model.

Weeks include test data▶	W4	W4	W4	W4	W4	W5	W5	W5	W5	W5
Misclassification rate Improvement Percentage	0.253%	0.232%	0.647%	0.207%	0	0.315%	reduced	0	0.106%	0.570%
Precision Improvement Percentage	0.008%	0.006%	0.016%	0.008%	0	0.028%	reduced	0	0.010%	0.018%
F-measure Improvement Percentage	0.04%	0.018%	0.104%	0.027%	0	0.019%	reduced	0	0.017%	0.064%