## 10 Results and Discussion
### Discussion
\begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt} p{142.3 pt}} \hline \hline
**Sequence of Integration** & **Purpose** & **Actions** \\ \hline \multirow{2}{*}{Assess Existing Infrastructure} & Understanding of the current architecture, components, and communication protocols of the smart healthcare CPS. & Conduct a thorough assessment of the existing infrastructure. \\ \hline \multirow{2}{*}{Identify Integration Points} & Determine specific points within the smart healthcare CPS where the GBG-RPL framework would be integrated. & Identify areas such as trust-management modules and communication interfaces where the GBG-RPL can be integrated. \\ \hline \multirow{2}{*}{Define Data Exchange Protocols} & Establish standardized protocols for the exchange of data between the GBG-RPL framework and existing components of the smart healthcare CPS. & Define communication standards, data formats, and protocols to ensure interoperability. \\ \hline \multirow{2}{*}{Adapt GBG-RPL to Healthcare Domain} & Tailor the GBG-RPL algorithms and parameters to suit the specific requirements and characteristics of healthcare. & Customize the GBG-RPL to handle healthcare-related trust metrics. \\ \hline \multirow{2}{*}{Ensure Security Measures} & Address security considerations to protect healthcare data and maintain the integrity of trust assessments. & Implement hashing and layered architecture to safeguard data exchanged between the Gini index and other components. \\ \hline \multirow{2}{*}{Testing and Validation} & Verify the integration’s functionality, performance, and security through comprehensive testing. & Conduct integration testing to validate compatibility with existing CPS components. \\ \hline \multirow{2}{*}{User Training and Adoption} & Prepare healthcare professionals, administrators, and other users for the introduction of the proposed framework, ensuring they understand its role and benefits. & Provide training sessions, workshops, and documentation. \\ \hline \multirow{2}{*}{Test Deployment} & Conduct a test deployment in a controlled environment. & Deploy the proposed framework on a limited scale, monitor its operation, and collect feedback. \\ \hline \multirow{2}{*}{Optimization and Full Deployment on feedback.} & Implement necessary optimizations based on the feedback. & Make refinements to the integration. \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Integration of GBG-RPL framework into smart healthcare CPS. various parameters. The BCPS-RPL mechanism demonstrated scalability when coping with a larger number of nodes. This research provides essential insights for securing and optimizing CPS networks against malicious attacks and ensuring their effective operation. Several performance metrics, including reliability, energy efficiency, security, scalability, and responsiveness, demonstrate that the GBG-RPL method outperforms the BCPS-RPL method, as shown in Table 12. In the table, the percentage of improvement was determined by averaging all values. However, in addition to the efficient attack detection, the proposed framework has some limitations. The initial assumption of network nodes' trustworthiness may not align with the dynamic nature of evolving cybersecurity threats, and the static trust assumption could pose challenges in dynamically changing healthcare environments. Additionally, the assumption of a secure communication channel may not fully account for emerging cybersecurity threats. Moreover, the assumption that the attacker node is not intelligent may not hold against sophisticated adversaries, potentially compromising the framework's effectiveness. Recognizing these limitations, real-world implementations must consider continuous evaluation, adaptation, and robust countermeasures to address potential vulnerabilities and ensure the framework's resilience in dynamic healthcare cybersecurity landscapes.