Research Article
An Informative and Comprehensive Behavioral Characteristics Analysis Methodology of Android Application for Data Security in Brain-Machine Interfacing
Table 4
Performance of static behavioral characteristic combination.
| Behavioral characteristic set | Algorithm | TP | FP | Precision | Recall | F-Measure | ROC area |
| Platform-defined | SVM | 0.887 | 0.123 | 0.892 | 0.887 | 0.886 | 0.88 | KNN | 0.94 | 0.06 | 0.94 | 0.94 | 0.94 | 0.975 | Random forest | 0.942 | 0.058 | 0.942 | 0.942 | 0.942 | 0.981 | App-specific | SVM | 0.898 | 0.102 | 0.899 | 0.898 | 0.898 | 0.895 | KNN | 0.961 | 0.039 | 0.961 | 0.961 | 0.961 | 0.981 | Random forest | 0.961 | 0.039 | 0.961 | 0.961 | 0.961 | 0.99 | All | SVM | 0.905 | 0.095 | 0.909 | 0.905 | 0.904 | 0.899 | KNN | 0.962 | 0.038 | 0.962 | 0.962 | 0.962 | 0.981 | Random forest | 0.971 | 0.029 | 0.971 | 0.97 | 0.971 | 0.992 |
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