# An Accurate GNSS Spoofing Detection Method Based on Multiscale Eye Diagrams
## 5 Experimental Results on the TEXBAT Dataset
### Comprehensive Performance Verification with TEXBAT Dataset  
We counted the detection rates of each detection method for the eight cases in the TEXBAT dataset (Table 3). In the experiment, the period from 110 s to 410 s (300 s in total) was selected as the period in which the spoofing signal coexisted with the real satellite signal and was in the spoofing phase, \(T_{d}=100\) ms, and \(P_{f}\leq 0.01\). We have already discussed Cases 1 to 3, so we will not repeat the details here. In Case 1, the EDDM-MSC-MMP achieved a detection rate of 95.23%, which was significantly better than those of the other methods. Ratio+ELP had a detection rate of 29.75%, and Ratio had a rate of 28.77%, while Slope, Delta, ELP, Slope+Delta and CN0 all had detection rates below 10%. This result clearly shows that the EDDM-MSC-MMP had the best detection  
Figure 11: ROC curves for the detection methods in Case 3 of the TEXBAT dataset. Figure 10: ROC curves for the detection methods in Case 2 of the TEXBAT dataset. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Detection Method** & \multicolumn{6}{c}{**TEXBAT Dataset**} \\  & **Case 1** & **Case 2** & **Case 3** & **Case 4** & **Case 5** & **Case 6** & **Case 7** & **Case 8** \\ \hline Slope & 2.89\% & 4.27\% & 19.99\% & 6.60\% & 0.22\% & 1.17\% & 62.11\% & 62.40\% \\ Delta & 0.78\% & 0.92\% & 5.44\% & 20.37\% & 0.08\% & 1.19\% & 0.93\% & 2.76\% \\ Ratio & 28.77\% & 14.12\% & 43.32\% & 51.70\% & 0.01\% & 1.15\% & 66.70\% & 66.84\% \\ ELP & 1.33\% & 1.46\% & 10.50\% & 42.87\% & 0.29\% & 2.67\% & 2.16\% & 2.59\% \\ Slope+Delta & 3.53\% & 4.77\% & 22.42\% & 24.48\% & 0.27\% & 2.03\% & 62.20\% & 62.70\% \\ Ratio+ELP & 29.75\% & 15.47\% & 47.70\% & 69.06\% & 0.30\% & 3.67\% & 67.06\% & 67.28\% \\ CN0 & 5.98\% & 10.18\% & 23.70\% & 45.75\% & 0.18\% & 1.72\% & 10.99\% & 16.19\% \\ EDDM-MSC-MMP & 95.23\% & 99.31\% & 80.71\% & 72.90\% & 98.11\% & 21.60\% & 79.39\% & 76.84\% \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Detection rates of different methods on the TEXBAT dataset. performance in Case 1. In Case 2, the detection rate of the EDDM-MSC-MMP increased to 99.31%, and the remaining methods remained inefficient, demonstrating the superior performance of the EDDM-MSC-MMP. In Case 3, although the detection rate of the EDDM-MSC-MMP decreased slightly, it still achieved the highest detection rate, 80.71%, among the correlation function-based methods. In Case 4, compared with Case 3, the power advantage of the spoofing signal is reduced from 1.2 dB to 0.4 dB, accompanied by a position offset. In this scenario, the methods with a detection rate above 50% included the EDDM-MSC-MMP, Ratio+ELP, and Ratio. The EDDM-MSC-MMP ranked first with a detection rate of 72.90%, followed by Ratio+ELP with 69.06% and Ratio with 51.70%. The scenario in Case 5 is similar to that in Case 2, except that the receiver platform is dynamic. The dynamic receiver platform and the intervention of spoofing signals had a significant effect on the detection method based on correlation peaks, causing its detection ability to drop sharply, whereas there was almost no effect on the other methods. The EDDM-MSC-MMP maintained a high detection rate of 98.11%. The scenario in Case 6 is similar to that in Case 4, except that the receiver platform is dynamic, which further increases the difficulty of detection. Even in this more complex environment, the detection rate of the EDDM-MSC-MMP was 21.60%, which was significantly better than those of the competing methods. Finally, Case 7 implements carrier phase alignment on the basis of Case 3, and Case 8 introduces zero-delay secure code estimation and replay attacks on the basis of Case 3. In both cases, the detection rate of the EDDM-MSC-MMP exceeded 75%, whereas the detection rates of Slope, Ratio, Slope+Delta and Ratio+ELP were similar, all between 60% and 70%. Delta, ELP, and CN0 had poor detection performance, with detection rates less than 5%. In summary, the EDDM-MSC-MMP demonstrated excellent performance in a variety of test scenarios.