# A UAV-Assisted Stackelberg Game Model for Securing IoMT Healthcare Networks
## 5 Conclusions  
The IoMT-assisted UAV network is an emerging technology adopted in wireless networks to offer services in many practical scenarios. However, the fragile nature of UAVs makes it easy to attack the network. In this paper, we have investigated the black hole attacker scenario and proposed an SBAODV scheme to overcome this issue. The SBAODV routing scheme utilizes the Stackelberg game theory model for IoMT medical healthcare networks to protect patient data and reliable communication. We concluded that the security and safety of wireless networks can be significantly enhanced. Considering the competition between the attacker and the defender, the Stackelberg security game enables the defender to make informed decisions and effectively protect their resources. The proposed scheme consists of three main parts: the number of players, the set of strategies, and utility functions. The best response strategies for the defender and the attacker can be determined by analyzing the Nash equilibrium and strong Stackelberg equilibrium, leading to optimal outcomes for both parties. Using game theory models in healthcare networks can provide a robust and secure solution for protecting confidential medical data.  
Future work can focus on further improving the proposed SBAODV scheme for securing IoMT-assisted UAV networks. This can include investigating its effectiveness under different attacks and network conditions, exploring its scalability and efficiency, and integrating machine learning and artificial intelligence techniques to enhance its performance. In addition, to ensure the highest level of security for IoMT systems and protect patient privacy and safety, researchers should consider multiple frameworks beyond the Stackelberg model, including risk assessment, vulnerability management, and regulatory compliance. The proposed SBAODV scheme can also be extended to other application domains beyond healthcare, such as industrial networks and smart cities, to provide a secure and reliable communication infrastructure.  
**Author Contributions:** Conceptualization, J.A.S., C.W. and M.A.K.; methodology, M.A.K., S.U. and S.A.H.M.; software, S.A.C., M.S.A.M. and A.M.; validation, M.A.K. and S.A.H.M.; formal analysis, J.A.S. and M.A.K.; investigation, S.U. and S.A.C.; resources, M.A.K., M.S.A.M. and A.M.; data curation, C.W. and A.M.; writing--original draft preparation, J.A.S., C.W., M.A.K. and S.A.H.M.M.; writing--review and editing, J.A.S., C.W., M.A.K., S.A.H.M., M.S.A.M., S.A.C., S.U. and A.M.; visualization, S.U., S.A.C., M.S.A.M. and A.M.M.; supervision, C.W. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This work was supported by the Fundamental Research Funds for the Central Universities (No. 2022 CDJYGRH-001) and the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R239), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.  
**Data Availability Statement:** Not applicable.  
**Acknowledgments:** The authors express This work is supported by the Chongqing Technology Innovation and Application Development Key Project (cstc2020 jscc-dxwtb2X0055; cstb2022 tiad-kpy0148) and the authors express their gratitude to the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R239), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.  
**Conflicts of Interest:** The authors declare no conflict of interest.