PUMD: a PU learning-based malicious domain detection framework

Cybersecurity

Table 14 Performance of different malicious domain detection models

Model	Macro-Recall	Macro-Precision	Macro-F1	Recall	Precsion	F1	ACC	FP-Rate	MCC
AULD\({}_{model}\)	0.8581	0.963	0.9032	0.7185	0.9396	0.8143	0.9848	0.0022	0.8144
ELM\({}_{model}\)	0.9612	0.9414	0.951	0.9262	0.8851	0.9052	0.994	0.0039	0.9023
KSDom\({}_{model}\)	0.982	0.869	0.9175	0.9726	0.7388	0.8397	0.991	0.0085	0.8435
HAC_EasyEnsemble\({}_{model}\)	0.9725	0.7846	0.8527	0.9684	0.5702	0.7177	0.9763	0.0234	0.7334
PUMD	0.9825	0.9384	0.9594	0.9684	0.8776	0.9208	0.9961	0.0033	0.9199