# A UAV-Assisted Stackelberg Game Model for Securing IoMT Healthcare Networks
## 1 Introduction  
The Internet of Medical Things (IoMT) is a rapidly growing field representing an interconnected network of medical devices, software applications, and health systems [1]. The IoMT network of devices and applications enables healthcare providers to collect, store, and analyze patient data in real-time applications, facilitating the efficient diagnosis, treatment, and monitoring of patient's health [2]. However, with the increasing connectivity of medical devices and systems, concerns have also grown in areas where it is difficult to have proper infrastructure. This is where unmanned aerial vehicles (UAVs) use in the context of secure communication systems in IoMT emerges as a promising solution [3]. UAVs, commonly known as drones, have proven helpful in various fields, and their potential applications in the healthcare industry are vast owing to their compatibility [4]. One such application assists IoMT networks in offering reliable services everywhere. UAVs are employed in several ways to enhance the efficiency of IoMT systems, protect patient data, and ensure the integrity of medical devices. UAVs equipped with sensors and cameras are used to monitor the physical security of healthcare facilities and provide real-time video feed to security personnel [5]. UAVs also conduct aerial surveillance of large medical facilities, providing a bird's-eye view of the facility and its surroundings and detecting potential security breaches [6]. In addition, UAVs can monitor the security of medical devices and equipment. Medical devices are increasingly connected to the Internet, making them vulnerable to cyberattacks [7]. UAVs with sensors and software can detect unauthorized access to medical devices and prevent potential cyberattacks. Due to the compactable nature of UAVs, they are used for inspecting and maintaining the physical security of medical devices [8]. They can fly to hard-to-reach locations and check medical devices for tampering or damage [9]. UAVs have proven to be very efficient in quickly surveying the damage caused by a disaster, such as a natural disaster or a terrorist attack [10]. They can provide real-time video feeds of the affected areas, helping healthcare providers and security personnel better understand the situation and take appropriate action [11]. Another application is to transport medical supplies and equipment in disaster response situations, UAVs can fly over impassable terrain and deliver much-needed medical supplies to the affected areas quickly and efficiently [12]. In particular, UAVs transport medical personnel to disaster sites, enabling them to provide prompt medical assistance to affected individuals [13]. Along with the above applications, UAVs can improve IoMT system security. They can detect and mitigate cyber threats to IoMT systems, providing an additional security layer [14]. Furthermore, UAVs are deployed in government and sensitive areas. To monitor the physical security of data centers and other critical infrastructures, ensuring they are protected from physical threats, such as theft or vandalism. UAVs have immense potential in the context of security systems within the IoMT networks. These sensors can monitor hospitals, medical equipment, and other assets for physical safety [15]. UAVs can also detect and mitigate cyber threats to IoMT systems, ensuring patient data security and integrity. In disaster response situations, UAVs have proven efficient in surveying damage, transporting medical supplies and personnel, and providing real-time video feeds of the affected areas [16]. With the rapid development of UAV technology and its increasing affordability, UAVs are expected to play a vital role in the security of IoMT systems [17]. To the best of our knowledge, integrating the IoMT networks with UAVs holds great promise for improving healthcare delivery in remote and underserved areas [18]. However, this integration presents significant challenges, particularly in security and privacy.