Research Article
Smartwatch-Based Legitimate User Identification for Cloud-Based Secure Services
Table 5
Statistical results for four different classifiers using magnetometer sensor data.
| Metric | Method | User 1 | User 2 | User 3 | User 4 | User 5 | User 6 |
| TPR | DT | 0.7450 | 0.8412 | 0.7326 | 0.7289 | 0.7805 | 0.8379 | SVM | 0.6206 | 0.6465 | 0.5211 | 0.6079 | 0.6919 | 0.7178 | KNN | 0.6639 | 0.7331 | 0.6358 | 0.6299 | 0.7144 | 0.8324 | NB | 0.4961 | 0.582 | 0.4472 | 0.4060 | 0.6018 | 0.4312 |
| TNR | DT | 0.9424 | 0.9601 | 0.9557 | 0.9597 | 0.9501 | 0.9650 | SVM | 0.9226 | 0.9263 | 0.9151 | 0.9337 | 0.9211 | 0.9385 | KNN | 0.9425 | 0.9529 | 0.9320 | 0.9373 | 0.9359 | 0.9363 | NB | 0.8403 | 0.9139 | 0.9079 | 0.9203 | 0.8990 | 0.8922 |
| FPR | DT | 0.2549 | 0.1588 | 0.2674 | 0.2711 | 0.2195 | 0.1621 | SVM | 0.3793 | 0.3534 | 0.4789 | 0.3921 | 0.3081 | 0.2822 | KNN | 0.3361 | 0.2669 | 0.3642 | 0.3700 | 0.2856 | 0.1676 | NB | 0.5039 | 0.4177 | 0.5528 | 0.5939 | 0.3982 | 0.5688 |
| FNR | DT | 0.0576 | 0.0399 | 0.0443 | 0.0403 | 0.0499 | 0.0349 | SVM | 0.0774 | 0.0737 | 0.0849 | 0.0663 | 0.0789 | 0.0615 | KNN | 0.0575 | 0.0471 | 0.0679 | 0.0627 | 0.064 | 0.0637 | NB | 0.1597 | 0.0861 | 0.0921 | 0.0797 | 0.1009 | 0.1078 |
| PPV | DT | 0.7450 | 0.8411 | 0.7326 | 0.7289 | 0.7805 | 0.8379 | SVM | 0.6208 | 0.6466 | 0.5211 | 0.6079 | 0.6919 | 0.7178 | KNN | 0.6639 | 0.7331 | 0.6358 | 0.6299 | 0.7144 | 0.8324 | NB | 0.4961 | 0.5823 | 0.4472 | 0.4060 | 0.6018 | 0.4312 |
| NPV | DT | 0.9424 | 0.9601 | 0.9557 | 0.9597 | 0.9501 | 0.9650 | SVM | 0.9226 | 0.9263 | 0.9151 | 0.9337 | 0.9211 | 0.93847 | KNN | 0.9425 | 0.9529 | 0.9320 | 0.9373 | 0.9359 | 0.9363 | NB | 0.8403 | 0.9139 | 0.9078 | 0.9203 | 0.8990 | 0.8922 |
| SEN | DT | 0.6941 | 0.8020 | 0.7966 | 0.8022 | 0.7038 | 0.8429 | SVM | 0.5789 | 0.6489 | 0.5979 | 0.6580 | 0.5434 | 0.7344 | KNN | 0.7131 | 0.7684 | 0.6821 | 0.6868 | 0.6172 | 0.70545 | NB | 0.3209 | 0.5525 | 0.5364 | 0.5922 | 0.3555 | 0.5220 |
| SPE | DT | 0.9547 | 0.9692 | 0.9379 | 0.9404 | 0.9661 | 0.9637 | SVM | 0.9341 | 0.9256 | 0.8874 | 0.9190 | 0.9566 | 0.9335 | KNN | 0.9287 | 0.9437 | 0.9177 | 0.9206 | 0.9577 | 0.9682 | NB | 0.9164 | 0.9230 | 0.8732 | 0.8445 | 0.9606 | 0.8517 |
| FDR | DT | 0.2549 | 0.1588 | 0.2674 | 0.2711 | 0.2195 | 0.1621 | SVM | 0.3792 | 0.3534 | 0.4789 | 0.3921 | 0.3081 | 0.2822 | KNN | 0.3361 | 0.2669 | 0.3642 | 0.3700 | 0.2856 | 0.1676 | NB | 0.5039 | 0.4177 | 0.5528 | 0.5939 | 0.3982 | 0.5688 |
| FOR | DT | 0.0576 | 0.0399 | 0.0443 | 0.0403 | 0.0499 | 0.0349 | SVM | 0.0774 | 0.0737 | 0.0849 | 0.0663 | 0.0789 | 0.0615 | KNN | 0.0575 | 0.04709 | 0.0679 | 0.0627 | 0.064 | 0.0637 | NB | 0.1597 | 0.0861 | 0.0921 | 0.0797 | 0.1009 | 0.1078 |
| ACC | DT | 0.9129 | 0.9409 | 0.9129 | 0.9174 | 0.9277 | 0.9418 | SVM | 0.8784 | 0.8777 | 0.8382 | 0.8772 | 0.8937 | 0.8962 | KNN | 0.8931 | 0.9143 | 0.8768 | 0.8822 | 0.9079 | 0.9202 | NB | 0.7949 | 0.8628 | 0.8192 | 0.8061 | 0.8738 | 0.7933 |
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