## 5 Experimental Results
### Comparative Analysis of FlexiChain 3.0  
A comparative analysis of the three types of DLT examined in this work is given in Table 6.  
A simulation has been performed over Equations (6), (12), and (18). For factors \(\alpha\), \(\theta\), \(\phi\), and \(\Phi\), values in the (0.9-1) range are assumed and will be assigned for each based on the difficulty of an attack [16]. For \(\omega\), it is assumed a value of (0-0.1) will be assigned [16]. The number of nodes chosen is 4 to 64. \begin{table}
\begin{tabular}{l l l l} \hline \hline
**Attack Type** & **Central Based V2V** & **Blockchain Based V2V** & **FlexiChain Based V2V** \\ \hline Attack-1 (A) & Equation (2): 1 security factor & Equation (8): 2 security factor & Equation (14): 4 security factors \\ \hline Attack-2 (B) & Equations (3) \& (4): transmission channel between server and edge nodes & Equations (9) \& (10): transmission channels combinations between 2 nodes. Cruces more channels to be compromised with increased cost for adversary & Equations (15) \& (16): transmission channel combinations between 2 nodes. Cruces more channels to be compromised which increase cost for adversary \\ \hline Attack-3 (C) & Equation (5): 1 authority capacity & Equation (11): Validators = Authority Capacity & Equation (17): All = authority capacity \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Comparison Between Central Versus Blockchain Versus FlexiChain. Figure 12: Results for Three Categories of Attacks in the FlexiChain-Based Scenario. It is seen from Equations (6), (12) and (18) that FlexiChain has more security layers, which would make any malicious attack very expensive. In addition, another factor is the number of nodes that play a major role in the feasibility of an attack. The more nodes required, the less vulnerable the network, Table 7. The quality of the exponential regression (in terms of the correlation coefficient \(R^{2}\)) is tabulated in Table 8.  
In Figure 13, in the early stages, all scenarios are at high risk. However, the more nodes that join the network, the more stable it becomes. The traditional central scenario needs a huge number of nodes to reach a stable security and for our simulation for the highest number of nodes used, it reaches 43% security vulnerability to attacks. For Blockchain-based V2V, the same factors play a role. However, the decentralization and distributed authority have reduced the risk to less than 14% at a secure stage. In FlexiChain, based on the multiple factors shown in Table 6, the security risk level has been further reduced from an earlier stage due to fairness of authority distribution, complete decentralization, and the extra security layers. However, up to some stage, the curve will run close to zero in blockchain and FlexiChain, as shown in Figures 10-12. All curves follow an exponential decay that declines toward zero. However, in blockchain and FlexChain, it is obvious that the dependency is lower, since the network has more security factors, as shown in Table 6. In addition, \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Number of Nodes** & **Central (\%)** & **Blockchain (\%)** & **FlexiChain (\%)** \\ \hline
4 & 84\% & 87\% & 76\% \\
24 & 65\% & 26\% & 11\% \\
44 & 52\% & 18\% & 4\% \\
64 & 43\% & 14\% & 2\% \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Comparative Analysis between Central Versus Blockchain Versus FlexiChain: This table shows the probabilities acquired from our security analysis for three categories of attacks for three scenarios. Figure 13: Chart Comparison between Central, Blockchain and FlexiChain. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Figure** & \(\mathbf{a}\) & \(\mathbf{b}\) & \(\mathbf{R^{2}}\) \\ \hline Figure 10 & 0.84 & 0.011 & 0.99 \\ Figure 11 & 0.62 & 0.027 & 0.837 \\ Figure 12 & 0.51 & 0.055 & 0.872 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Quality of Regression of Attack Success Probability to \(P=a\expbx\). the threat level decreases faster in FlexiChain than in blockchain due to there being more security levels.