## 5 Experimental Results  
In our proposed research, Hyperledger Calliper is used as a tool for the blockchain network. It can support different Hyperledger frameworks, e.g., Fabric, Composer, Sawtooth, Iroha, etc. Moreover, we have implemented homomorphic encryption for our encryption and decryption to provide a secure, searchable encryption mechanism. In this proposed research, the Calliper tool plays an important role in the verification and execution of the system and various parameters. The parameters include latency, throughput, encryption and decryption time, and computational cost. In our experimental setup, the configuration parameters are modified as per assessment, such as block size, block time, endorsement policy, channel, keyword search, update policy, add a policy, delete policy, and revoke the policy. Our simulation setup configurations consist of the following specifications:  
**Experiment 1:** We ran our first experiment up to 3050 rounds, and we evaluated our results based on the number of personal health records sent versus several rounds. In Figure 4, we explain the number of transactions sent from one domain to another domain. It can be easily observed that the number of transactions means the number of patient health records (PHR) or electronic health records (EHR) sent per round. We ran our simulations for 5000 rounds and evaluated the number of patient health records sent. In addition, we carried out a comparative analysis with benchmark models, such as Medrec and Medblock. **Experiment 2:** We performed our simulations for the number of rounds and the execution time to compare the proposed framework and the benchmark models. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Number of People** & **FPR** & **FNR** & **FDR** & **ACC** \\ \hline
100 & 0 & 0 & 0 & 1 \\
200 & 0 & 0.022 & 0.025 & 0.96 \\
300 & 0.002 & 0.029 & 0.035 & 0.87 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Performance analysis based on number of patients. In Figure 6, we describe the simulation results based on our proposed policies. We proposed access control policies for our proposed framework using homomorphic encryption and pseudorandom algorithms. The proposed method evaluates access control policies against several execution times and several access policies. In addition, we carried out experiments on policy revocation, policy creation, and add policy. It can be observed that the authorization policy took less time than the authentication policy and delegation policy. Thus, these simulations in Figure 7 justify that our proposed access control policy provides more security and less computational cost. Figure 8 describes the simulation results of several users classified based on their interaction and behavior with the proposed framework. Figure 6: Comparative analysis of different domains based on homomorphic encryption and secure searchable. Figure 7: Comparative analysis of concurrent requests for the proposed policies. Figure 4 highlights the simulation results for the number of rounds taken and the number of transactions sent per second. From the simulations, we can see that our proposed framework is much better than the benchmark models. Thus, we have achieved more efficiency as compared to the benchmark models. In Figure 6, we achieve the throughput and efficiency using the Hyperledger Fabric tool. Through our proposed framework, we used the optimum block height to achieve the maximum throughput. The gas is the space or the unit during the transactions used. We evaluated this experiment over several rounds as the input and the number of packets sent to the cluster as the output. From these simulations, it is evident that we achieved the maximum efficiency and throughput for the same dataset used in the literature, i.e., Medrec and Medblock. In Figure 7, we provide the comparative analysis based on the number of transactions sent and the time for transactions. We designed a novel algorithm for the transaction of personal health records using blockchain technology.