Table 10 Results using ML Classifiers.

From: CTDNN-Spoof: compact tiny deep learning architecture for detection and multi-label classification of GPS spoofing attacks in small UAVs

Model

Channel

Loss

Accuracy

LR

Ch0_output

0.0217

0.9485

DT

0.0170

0.9659

RF

0.0115

0.9612

LR

Ch1_output

0.0200

0.9503

DT

0.0250

0.9496

RF

0.019

0.9356

LR

Ch2_output

0.0132

0.9806

DT

0.0033

0.9659

RF

0.0115

0.9966

LR

Ch3_output

0.0122

0.9739

DT

0.0123

0.9749

RF

0.0082

0.9712

LR

Ch4_output

0.0143

0.9766

DT

0.0078

0.9659

RF

0.0115

0.9842

LR

Ch5_output

0.0096

0.9858

DT

0.0022

0.9955

RF

0.0015

0.9946

LR

Ch6_output

0.0098

0.9828

DT

0.0048

0.9901

RF

0.0031

0.9898

LR

Ch7_output

0.0224

0.9314

DT

0.0269

0.9461

RF

0.0198

0.9335