## 5 Experimental Results
### A Flexible Data Generator  
This section describes the system developed to model a potential RBS attack scenario in a scalable realistic environment. The geography of this simulation includes a motorway 50 m wide and 500 km long. A random number of BS units in random positions along the road and a smaller number of RBS units in the proximity of the roadway are established, as illustrated by the green and red dots, respectively, in Figure 9. X is the distance along the road and Y is the distance from the road at which the BS/RBS is positioned. Each RBS is positioned such that it appears in different parts of the BS phase, that is, when BS is rising, when BS is falling, when BS is at its peak, and in the \"gap\" between BS peaks. As illustrated in Figure 10, the RSRP for a moving UE from a collection of standalone base stations at random positions is computed. The legitimate BS units provide 5G coverage \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Parameter** & **Value** & **Parameter** & **Value** \\ \hline Platoon’s Speed & 80 Km/h & RBS Number & 1 \\ Frequency & 3.8 GHz & Road Width & 50 m \\ Power of RBS & 1 (watt) & Road Length & 22,500 m \\ Power of BS & 10 (watt) & RBS Gain & 15 (dBi) \\ BS Number & 3 & BS Gain & 1 (dBi) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Parameter Setting of Simulation in the Attack Model. Figure 9: The simulation geography for the flexible data generator, motorway width = 50 m, motorway length = 500 km, number of BS = 30, and number of rogue base stations = 6.  
for a particular area comprising a section of an urban roadway on which autonomous vehicle platoons travel. When the platoon leader is in the range of the BS units, the RSRP is calculated every second. From this, we observe that the range of the signal is between \(-115\) dBm to \(-65\) dBm as an approximation of realistic network configurations. When the RSRP is greater than \(-80\) dBm, the signal strength is deemed to be excellent and can be described as a strong signal with maximum data speeds. When it is between \(-80\) dBm and \(-90\) dBm it depicts a strong signal with good data rates. From \(-90\) dBm to \(-100\) dBm the signal strength was fair to poor. In this case, a reliable data transfer rate may be attained; however, dropouts are possible. As the signal approaches \(-100\) dBm, the performance drops drastically, whereas at less than \(-100\) dBm disconnection may occur. The model presented here is based on a combination of simple radio propagation, statistical variation of the path loss and simple Newtonian models of moving objects and the use of high gain antennas at the RBSs. With the randomised placement of the base stations and the speed of the platoon, the model therefore produces values of the expected RSRP as the platoon moves along a road that does not actually exist, but that contains normally encountered radio propagation artifacts. The validity of the model is evident from the results in Figure 9(a) as the peak RSRP for each BS occurs at the point where the distance between the BS and the UE is a minimum and the value of that peak varies depending on the randomised distance between the BS and the road. In Figure 9(a),b, the 5G handover decision protocol is implemented considering only the legitimate BS units. Decision making is based on the RSRP values measured by the UE from the surrounding BS units. In the first second, the BS with the maximum RSRP is chosen as the serving BS. The figure shows how the moving UE moves from BS to BS when the RSRP from the second BS is greater than the 5 dB threshold specified. Figure 10: Received signal strength for a platoon’s leader in a flexible signal generator model. Figure 10c introduces a number of RBS units positioned in different parts of the BS phase, i.e., when the BS is rising, falling, at its peak, and in the \"gap\" between BS peaks. The RBS need to produce a higher received signal (including the threshold) to defraud the UE.