## 4 Prevention Mechanisms of the Proposed Scheme
### _RSU Network Prevention Mechanism Against Hybrid DoS Attacks_
This integration model serves as an additional model of the proposed scheme and utilizes efficient ESATR to process V2V, V2 RSU, and RSU2V communication of SRSIE. The PSAM and PESATRM integration models also provides further secure authentication and key distribution establishment (AKDE) for the RSU and the FS. This secures the network for trustworthiness. In addition, PESATRM utilizes probability analysis and also encompass NSHV and non-shadow environment encryption (NESE) concepts of VFC communication. This provide secure and SRSIE to sensitize the vehicles that move in the same transmission range in order to effectively prevent road casualties in a timely manner. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Protocols**} & \multirow{2}{*}{\begin{tabular}{c} **Data Transmission** \\ **Mode** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **Performance Measurement for** \\ **Accuracy and Trustworthiness** \\ \end{tabular} } & \multirow{2}{*}{**Attacks Detection**} & \multirow{2}{*}{
\begin{tabular}{c} **Storage and** \\ **Authentication** \\ \end{tabular} } \\  & & & & **Mechanism** \\ \hline
[9] RTMD & None & No trustworthiness and accuracy & Only DoS JSA & None \\
[10] FECM & None & No trustworthiness and & Only DoS JSA & None \\
[11] DRIA & Unicast traffic & No trustworthiness and & Only DoS JSA & None \\  & mode & prediction accuracy & Only DoS JSA & None \\
[12] RTDD & Broadcast traffic & No trustworthiness and & Only DoS JSA & None \\  & mode & prediction accuracy & & None \\
[14] RTVA, and [17] & Mostly multicast & No trustworthiness and & Only DoS JSA & VFC only and none \\ EMDV & prediction accuracy & & & \\ Proposed scheme & Unicast, & Trustworthiness and prediction & HDSA, DoS JSA, & VFC, HOA, and \\ protocol & broadcast/multicast & accuracy & PD, and RCRCO & AKDE \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Summary of background study. VFC integration with HOA and AKDE support rising VANET applications that demand predictable results with minimum energy consumption rate. This paper has focused on the dual training mechanism of Firefly (GA)/FFBP-NN to provide prevention and recovery mechanisms for all malicious node detection paths for end-to-end delay paths observed in VANET. It also reduced jitter in the proposed scheme significantly. As a result, the detection and prevention of all forms of attacks, such as HDSAs, including DoS JSA and other attacks, is high. Based upon this, the proposed scheme prediction accuracy is 92%. The proposed scheme uses the concepts of authentication and encryption and trustworthiness of nodes. The network provision also utilize hybrid information broadcast/multicast and unicast in the VANET. However, compared to Cuckoo (ABC) and Firefly (GA), their prediction accuracies are, respectively, 63% and 63.89%. These schemes have limitations in trustworthiness provision in VANET. They do not utilize HOAs and AKDE. In addition, the proposed scheme algorithm and the models, which include HDAM, PSAM, and PESATRM, significantly contributed to efficiently reducing the jitter value by 72%. The maximum attained throughput for the proposed scheme is importantly high as compared to Cuckoo (ABC) and Firefly (GA). The paper utilized FFBP-NN over 100 iterations, out of which 30-40 iterations are reserved for Firefly back propation. In our future work, we would like to design the layout and implementation of VANET, which would also involve other forms of optimization techniques, including the Spline method to minimize the jitter problems in the fog computing environment. Then, performance evaluation based upon different forms of attacks in the network, including HDSA, would also be assessed. Conceptualization, S.E. and K.E. ; Methodology, S.E. and K.E. ; Validation, S.E. ; Writing--original draft, S.E. ; Writing--review & editing, K.E. This research has been sponsored by the University of Bridgeport. The authors [PERSON] and [PERSON] acknowledge that the formulae and algorithms developed in this research were solely their own work.