Table 8.

Classification Accuracy Analysis of four feature evaluation measures on UNSW-NB15.

Attack class	ALL features				Correlation				Consistency
	KNN	RF	SVM	DBN	KNN	RF	SVM	DBN	KNN	RF	SVM	DBN
Fuzzers	80.01	83.52	79.25	79.21	84.7	84.7	75.4	78.4	88.5	90.1	79.2	83.7
Analysis	98.97	99.0	96.78	96.78	99.2	99.1	98.8	98.8	99.3	99.4	98.8	98.8
Backdoors	99.39	99.4	97.29	97.21	99.4	99.4	99.3	97.6	99.8	99.9	98.8	98.6
DoS	96.0	96.61	91.65	91.45	96.1	96.2	91.5	92.3	98.4	99.1	92.2	94.8
Exploits	80.36	92.92	73.95	76.4	89.9	91.0	70.8	85.1	97.0	98.8	84.4	85.2
Generic	99.37	99.42	95.98	95.97	99.2	99.2	99.0	90.2	99.6	99.7	99.1	99.1
Reconnaissance	90.62	92.21	86.87	86.88	97.9	98.1	90.2	89.6	97.8	99.5	86.4	85.7
Shellcode	98.56	98.46	97.99	97.99	98.3	98.2	98.0	97.9	99.3	99.67	98.4	97.9
Worms	99.73	99.77	99.74	99.74	99.8	99.89	99.7	99.7	99.9	99.99	99.7	99.7

Attack class	Information				Distance
	KNN	RF	SVM	DBN	KNN	RF	SVM	DBN
Fuzzers	87.2	89.07	81.8	83.9	87.3	89.62	83.0	83.9
Analysis	98.9	99.33	97.9	97.6	99.0	99.35	99.0	98.8
Backdoors	99.5	99.84	97.1	97.9	99.7	99.76	97.1	99.2
DoS	97.7	98.85	93.0	91.2	98.5	99.0	95.1	96.8
Exploits	95.3	97.56	79.1	84.4	97.6	98.59	86.9	93.0
Generic	99.3	99.69	93.2	89.0	99.5	99.71	94.6	96.9
Reconnaissance	98.6	99.11	91.9	88.5	98.9	99.54	96.5	97.1
Shellcode	98.7	98.63	98.0	97.9	98.7	98.44	98.0	97.9
Worms	99.9	99.96	99.7	99.7	99.8	99.90	99.7	99.7