## 4 Experiment Setup and Results
### Traceability  
The proposed scheme of IoV provides a conditional-privacy scheme that discloses the real identity of the vehicle if any malicious activities in the network are detected. The most significant feature of our proposed scheme is that the identity of the compromised entity must be traced by the law enforcement department (LED) to punish the intruder. Currently, including traceability and privacy preservation together in the blockchain is a challenging task. Therefore, traceability must be considered in the proposed scheme to avoid any malicious activities in the network. Hyperledger Fabric provides an audit feature. If any malicious activity is noticed, the LED can detect the vehicle's id and time stamp. The Fabric enables \"ZKP\" to manage privacy preservation with asset management using an auditing feature, which is also called ZKAT. This enables senders to send transactions without disclosing any information to the public. This feature differentiates Hyperledger  
Figure 5: Performance of enhanced Fabric transactions with different block sizes. Fabric from other schemes available for privacy preservation. A specific auditor, who has full access to transactions of the user, is assigned to each user in a network. Subsequently, auditors are also able to check all of the history and extract the information of users who are assigned to that auditor. Auditors are not able to audit the users who are not assigned to them. In IOV, auditing is the most required feature. Unlike other privacy-preserving blockchain solutions, Fabric fulfills the requirements of the permission network by providing long-term credentials to vehicles. Hence, Fabric supports nonrepudiation, strong accountability, and a strong and secure auditing mechanism for vehicles in the blockchain network. Figure 4 shows the different latencies of transactions, such as endorsement latency, broadcast latency, and ledger update Latency. We note that latency increases with the increase in the number of transactions per second. Figure 5 shows the number of transactions per second, which is known as transaction throughput. The time it takes for a transaction to commit is known as transaction latency. The throughput increases linearly as the transaction arrival rate rises. The throughput becomes saturated at roughly 140 tps, and the latency rapidly increases. The latency will be the same for all block sizes. A smaller block size is faster when the transaction rate rises before the saturation point  
Figure 6 shows the average delay of the BESA scheme and Ethereum with a varied number of transactions. It clearly shows that our proposed scheme has low latency compared to the Ethereum network. Figure 7 depicts the correct probability that a data block will be verified for several successful detection reputation levels. We note that when the reputation threshold is 0.25, then the accurate probability of our BESA scheme is more than 75% higher than that of the TSL scheme. This shows that the BESA scheme based on the multi-weight subjective logic (MWSL) model can ensure secure block verification even when attackers use internal active miner cooperation. Figure 7 shows the probability of corrected data blocks whereas the Figure 8 compares the resource utilization in PBFT and SBFT. Figure 6: Comparison of enhanced Fabric with Ethereum. We used the traditional subjective logic scheme and the proposed BESA solution based on the multi-weight subjective logic scheme to track the detection rate of 10 malicious miner candidates for 1 h. The MWSL technique had a substantially greater successful detection rate of malicious miners than the TSL scheme. We note that when we set the value of the reputation threshold to 0.5, the proposed scheme has a detection rate that is approximately 99 percent higher than that of the traditional subjective logic scheme. Because the MWSL scheme has a greater detection rate, possible security threats can be discovered and prevented more effectively, resulting in a more secure blockchain-enabled IoV.