## 5 Conclusions  
In conclusion, our study highlights the critical need for a unique cyber threat-hunting platform in the context of smart health ecosystems. The data obtained clearly show that the healthcare domain is vulnerable to the ever-changing environment of cyber threats since multiple attacks were discovered during the research period. These findings demonstrate the potential for malicious actors to exploit weaknesses in smart health systems, emphasizing the crucial need to address cybersecurity issues among healthcare stakeholders. The development of smart health technology broadens the attack surface and attracts increasingly sophisticated attackers. Failure to address these vulnerabilities may jeopardize the integrity of healthcare operations, posing major hazards to patient safety and infrastructure. \begin{table}
\begin{tabular}{c c c} \hline \hline \multicolumn{1}{c}{**Aspect**} & \multicolumn{1}{c}{**Proposed Solution in the Research**} & \multicolumn{1}{c}{\begin{tabular}{c} **Commercial Solutions (e.g., Darktrace,** \\ **CrowdStirie Falcon, Tenable.io)**} \\ \end{tabular} \\ \hline Purpose & \begin{tabular}{c} Evaluation and analysis of attack patterns and vulnerabilities in smart health systems. \\ \end{tabular} & \begin{tabular}{c} Real-time detection, protection, and automated threat response to mitigate cyber threats. \\ \end{tabular} \\ \hline Threat Detection Mechanism & \begin{tabular}{c} Deception-based techniques using honeypots and decoys to study attacker behavior. \\ \end{tabular} & \begin{tabular}{c} AI-powered behavioral analytics and machine learning to detect anomalies and block threats. \\ \end{tabular} \\ \hline \multirow{2}{*}{Scope} & \begin{tabular}{c} Focus on detailed analysis and customization \\ for specific research purposes. \\ \end{tabular} & Provides comprehensive real-time protection \\ \hline Customization and Control & \begin{tabular}{c} High level of customization and control for \\ targeted evaluation of specific threats \\ and vulnerabilities. \\ \end{tabular} & \begin{tabular}{c} Pre-configured standardized solutions for \\ rapid deployment, with limited customization. \\ \end{tabular} \\ \hline Real-time vs. Controlled & \begin{tabular}{c} Operates in a controlled environment for \\ research and testing purposes. \\ \end{tabular} & \begin{tabular}{c} Provides real-time protection and automated \\ responses to live threats in \\ operational environments. \\ \end{tabular} \\ \hline Response to Threats & \begin{tabular}{c} Gathers threat intelligence for future defense \\ strategies, not real-time remediation. \\ \end{tabular} & \begin{tabular}{c} Immediate threat detection, response, and \\ mitigation of ongoing attacks. \\ \end{tabular} \\ \hline Application & \
\begin{tabular}{c} Best suited for research and in-depth study of \\ cyber threats in smart health ecosystems. \\ \end{tabular} &
\begin{tabular}{c} Suited for organizations that need \\ comprehensive security across \\ various infrastructures. \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 14: A brief comparison of available solutions with ours. In this regard, this study proposes the creation and deployment of an innovative cyber threat-hunting platform as a proactive strategy for mitigating these risks. Using real-time threat detection and analysis, stakeholders may improve their capacity to comprehend, forecast, and respond to cyber threats, guaranteeing the safe functioning of smart health systems. Moving forward, engagement between policymakers, solution providers, and the healthcare community is critical for strengthening smart health's cybersecurity posture. The findings and recommendations offered in this study provide a solid platform for further research and action in this vital field. Methodology, N.N.T. ; Software, N.N.T. ; Validation, A.A. and N.N.T. ; Investigation, N.N.T. ; Resources, A.A. and N.N.T. ; Data curation, N.N.T. ; Writing--original draft, N.N.T. ; Writing--review & editing, A.A.; Visualization, N.N.T. ; Project administration, A.A. and N.N.T.