Dark Web Data Classification Using Neural Network

Table 3

Performance of models (SVM, TSVM, NN-S3VM).

Database	SVM			TSVM			NN- S^3VM
	Accuracy (%)	MCC	ROC area	Accuracy (%)	MCC	ROC area	Accuracy (%)	MCC	ROC area
CIRA-CIC-DoHBrw-2020	0.61	0.54	0.72	0.65	0.34	0.74	0.81	0.55	0.82
CSE-CIC-IDS2018 on AWS	0.63	0.28	0.82	0.64	0.31	0.83	0.84	0.34	0.83
Intrusion detection evaluation dataset (CIC-IDS2017)	0.64	0.30	0.92	0.64	0.25	0.93	0.84	0.29	0.94
Intrusion detection evaluation dataset (ISCXIDS2012)	0.71	0.50	0.91	0.76	0.49	0.92	0.87	0.13	0.95
DDoS evaluation dataset (CIC-DDoS2019)	0.74	0.30	0.92	0.78	0.29	0.94	0.91	0.13	0.96
Investigation of the android malware (CIC-InvesAndMal2019)	0.73	0.31	0.93	0.79	0.34	0.95	0.93	0.18	0.91
Android botnet dataset	0.71	0.51	0.94	0.81	0.41	0.95	0.94	0.46	0.97