Research Article

Smartwatch-Based Legitimate User Identification for Cloud-Based Secure Services

Table 5

Statistical results for four different classifiers using magnetometer sensor data.

MetricMethodUser 1User 2User 3User 4User 5User 6

TPRDT0.74500.84120.73260.72890.78050.8379
SVM0.62060.64650.52110.60790.69190.7178
KNN0.66390.73310.63580.62990.71440.8324
NB0.49610.5820.44720.40600.60180.4312

TNRDT0.94240.96010.95570.95970.95010.9650
SVM0.92260.92630.91510.93370.92110.9385
KNN0.94250.95290.93200.93730.93590.9363
NB0.84030.91390.90790.92030.89900.8922

FPRDT0.25490.15880.26740.27110.21950.1621
SVM0.37930.35340.47890.39210.30810.2822
KNN0.33610.26690.36420.37000.28560.1676
NB0.50390.41770.55280.59390.39820.5688

FNRDT0.05760.03990.04430.04030.04990.0349
SVM0.07740.07370.08490.06630.07890.0615
KNN0.05750.04710.06790.06270.0640.0637
NB0.15970.08610.09210.07970.10090.1078

PPVDT0.74500.84110.73260.72890.78050.8379
SVM0.62080.64660.52110.60790.69190.7178
KNN0.66390.73310.63580.62990.71440.8324
NB0.49610.58230.44720.40600.60180.4312

NPVDT0.94240.96010.95570.95970.95010.9650
SVM0.92260.92630.91510.93370.92110.93847
KNN0.94250.95290.93200.93730.93590.9363
NB0.84030.91390.90780.92030.89900.8922

SENDT0.69410.80200.79660.80220.70380.8429
SVM0.57890.64890.59790.65800.54340.7344
KNN0.71310.76840.68210.68680.61720.70545
NB0.32090.55250.53640.59220.35550.5220

SPEDT0.95470.96920.93790.94040.96610.9637
SVM0.93410.92560.88740.91900.95660.9335
KNN0.92870.94370.91770.92060.95770.9682
NB0.91640.92300.87320.84450.96060.8517

FDRDT0.25490.15880.26740.27110.21950.1621
SVM0.37920.35340.47890.39210.30810.2822
KNN0.33610.26690.36420.37000.28560.1676
NB0.50390.41770.55280.59390.39820.5688

FORDT0.05760.03990.04430.04030.04990.0349
SVM0.07740.07370.08490.06630.07890.0615
KNN0.05750.047090.06790.06270.0640.0637
NB0.15970.08610.09210.07970.10090.1078

ACCDT0.91290.94090.91290.91740.92770.9418
SVM0.87840.87770.83820.87720.89370.8962
KNN0.89310.91430.87680.88220.90790.9202
NB0.79490.86280.81920.80610.87380.7933