Research Article
Linear SVM-Based Android Malware Detection for Reliable IoT Services
Table 5
Detailed performance indicators of machine learning classifiers (TPR/FPR).
| Normal and malware | TPR | FPR | BN | DT | NB | RF | SVM | BN | DT | NB | RF | SVM |
| Normal | 0.852 | 0.780 | 0.280 | 0.998 | 0.999 | 0.015 | 0.032 | 0.098 | 0.124 | 0.004 | Adrd.AQ | 0.695 | 0.671 | 0.000 | 1.000 | 0.957 | 0.012 | 0.017 | 0.000 | 0.004 | 0.002 | Anserver | 0.985 | 0.918 | 0.000 | 0.996 | 0.957 | 0.051 | 0.117 | 0.000 | 0.004 | 0.000 | Basebridge | 0.692 | 0.862 | 0.487 | 0.671 | 0.939 | 0.009 | 0.056 | 0.081 | 0.014 | 0.000 | DroidKungFu | 0.720 | 0.868 | 0.000 | 0.874 | 0.977 | 0.008 | 0.000 | 0.000 | 0.000 | 0.001 | FakeInst | 0.946 | 0.709 | 0.263 | 0.838 | 0.985 | 0.005 | 0.000 | 0.001 | 0.001 | 0.011 | Geimini | 0.649 | 0.464 | 0.000 | 0.962 | 0.893 | 0.004 | 0.009 | 0.000 | 0.000 | 0.001 | GoldDream | 0.567 | 0.298 | 0.000 | 0.717 | 0.994 | 0.012 | 0.005 | 0.000 | 0.022 | 0.002 | LightDD | 0.663 | 0.562 | 0.373 | 0.645 | 0.957 | 0.012 | 0.035 | 0.284 | 0.000 | 0.000 | Opfake | 0.567 | 0.429 | 0.000 | 0.509 | 0.820 | 0.005 | 0.002 | 0.000 | 0.001 | 0.005 | PjApps | 0.946 | 0.659 | 0.000 | 0.548 | 0.996 | 0.032 | 0.012 | 0.000 | 0.003 | 0.003 | RooterBT | 0.868 | 0.451 | 0.782 | 0.573 | 0.966 | 0.009 | 0.000 | 0.318 | 0.008 | 0.004 | SMSHider | 0.778 | 0.766 | 0.000 | 0.773 | 0.949 | 0.001 | 0.054 | 0.000 | 0.001 | 0.001 | Snake | 0.422 | 0.205 | 0.000 | 0.703 | 0.935 | 0.013 | 0.007 | 0.000 | 0.001 | 0.001 | Zitmo | 0.750 | 0.503 | 0.378 | 0.789 | 0.967 | 0.060 | 0.025 | 0.087 | 0.033 | 0.001 |
| Average | 0.740 | 0.610 | 0.171 | 0.773 | 0.953 | 0.017 | 0.025 | 0.058 | 0.014 | 0.002 |
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