Research Article
Smartwatch-Based Legitimate User Identification for Cloud-Based Secure Services
Table 1
Average accuracy for legitimate user identification with 400 samples per window.
| Sensor | Activities | Classifiers | DT | SVM | KNN | NB |
| Acc. | Walking | 0.9868 ± 0.0094 | 0.9391 ± 0.0181 | 0.9375 ± 0.0171 | 0.7616 ± 0.0201 | Walking up | 0.8753 ± 0.0327 | 0.8005 ± 0.0422 | 0.7874 ± 0.0388 | 0.5876 ± 0.0540 | Walking down | 0.8835 ± 0.0383 | 0.8447 ± 0.0534 | 0.7831 ± 0.0598 | 0.5619 ± 0.0909 | Running | 0.8168 ± 0.0363 | 0.6381 ± 0.0554 | 0.5969 ± 0.0477 | 0.5311 ± 0.0325 | Jogging | 0.9572 ± 0.0147 | 0.8816 ± 0.0163 | 0.9260 ± 0.0236 | 0.6234 ± 0.0384 |
| Gyr. | Walking | 0.9638 ± 0.0115 | 0.9177 ± 0.0268 | 0.9504 ± 0.0066 | 0.5149 ± 0.0367 | Walking up | 0.8575 ± 0.0389 | 0.8362 ± 0.0333 | 0.8313 ± 0.0181 | 0.5423 ± 0.0683 | Walking down | 0.8983 ± 0.0453 | 0.8062 ± 0.0339 | 0.8126 ± 0.0225 | 0.5476 ± 0.0595 | Running | 0.8521 ± 0.0651 | 0.6737 ± 0.0390 | 0.7359 ± 0.0220 | 0.5866 ± 0.0483 | Jogging | 0.9424 ± 0.0163 | 0.8964 ± 0.0272 | 0.8903 ± 0.0095 | 0.6629 ± 0.0376 |
| Mag. | Walking | 0.9193 ± 0.0208 | 0.7699 ± 0.0259 | 0.8551 ± 0.0339 | 0.6777 ± 0.0339 | Walking up | 0.7600 ± 0.0549 | 0.5951 ± 0.0486 | 0.7107 ± 0.0405 | 0.5907 ± 0.0674 | Walking down | 0.8298 ± 0.0543 | 0.7233 ± 0.0486 | 0.7055 ± 0.0671 | 0.5826 ± 0.0716 | Running | 0.6384 ± 0.0611 | 0.5768 ± 0.0339 | 0.5916 ± 0.0481 | 0.3524 ± 0.0589 | Jogging | 0.7056 ± 0.0461 | 0.4637 ± 0.0419 | 0.5873 ± 0.0361 | 0.3340 ± 0.0287 |
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