Linear SVM-Based Android Malware Detection for Reliable IoT Services

Table 6

Detailed performance indicators of machine learning classifiers (precision/accuracy/-measure).

Normal and malware	Precision					Accuracy					-measure
	BN	DT	NB	RF	SVM	BN	DT	NB	RF	SVM	BN	DT	NB	RF	SVM
Normal	0.963	0.920	0.571	0.790	0.992	0.943	0.908	0.704	0.915	0.997	0.904	0.844	0.375	0.882	0.995
Adrd.AQ	0.682	0.590	0.000	0.893	0.939	0.978	0.972	0.964	0.996	0.996	0.689	0.628	0.000	0.943	0.948
Anserver	0.532	0.315	0.000	0.933	0.993	0.951	0.885	0.945	0.996	0.997	0.691	0.469	0.000	0.963	0.975
Basebridge	0.803	0.455	0.246	0.724	0.999	0.976	0.940	0.897	0.970	0.997	0.744	0.596	0.327	0.696	0.968
DroidKungFu	0.842	1.000	0.000	0.997	0.983	0.977	0.993	0.945	0.993	0.998	0.776	0.929	0.000	0.932	0.980
FakeInst	0.910	1.000	0.911	0.973	0.836	0.992	0.985	0.960	0.990	0.989	0.928	0.830	0.408	0.900	0.905
Geimini	0.842	0.607	0.000	0.996	0.957	0.986	0.976	0.971	0.999	0.995	0.733	0.526	0.000	0.979	0.924
GoldDream	0.730	0.780	0.000	0.653	0.962	0.964	0.956	0.945	0.963	0.997	0.639	0.431	0.000	0.683	0.978
LightDD	0.765	0.481	0.070	0.997	0.998	0.971	0.943	0.697	0.981	0.998	0.710	0.518	0.118	0.783	0.977
Opfake	0.878	0.910	0.000	0.979	0.900	0.972	0.966	0.945	0.972	0.985	0.689	0.583	0.000	0.670	0.858
PjApps	0.554	0.707	0.000	0.880	0.941	0.967	0.975	0.959	0.978	0.997	0.699	0.682	0.000	0.675	0.967
RooterBT	0.846	1.000	0.117	0.802	0.926	0.985	0.972	0.687	0.971	0.994	0.857	0.621	0.203	0.669	0.946
SMSHider	0.983	0.451	0.000	0.972	0.976	0.987	0.936	0.946	0.986	0.996	0.868	0.568	0.000	0.861	0.962
Snake	0.651	0.646	0.000	0.987	0.977	0.955	0.949	0.945	0.983	0.995	0.512	0.312	0.000	0.821	0.956
Zitmo	0.325	0.439	0.144	0.479	0.977	0.933	0.958	0.893	0.960	0.998	0.454	0.469	0.209	0.596	0.972
Average	0.754	0.687	0.137	0.870	0.957	0.969	0.954	0.894	0.977	0.995	0.726	0.600	0.109	0.804	0.954