# A UAV-Assisted Stackelberg Game Model for Securing IoMT Healthcare Networks
## 2 Related Works  
Many authors have proposed various models to address the security and privacy issues in healthcare systems based on UAVs. UAVs are gaining popularity in various domains, including healthcare. In healthcare, UAVs are used for emergency medical transportation, assisting patients in remote areas, and delivering essential medical supplies [25]. This paper presents a detailed review of related work on using UAVs in emergency medical situations, focusing on healthcare networking. Moreover, we discuss current leading-edge technologies and their limitations in this field.  
The authors [26] presented an overview of current technologies related to medical healthcare systems and discussed their advantages and limitations. The authors also proposed a framework for using UAVs in disaster relief situations. A comprehensive review of UAV-based emergency healthcare systems was presented. The authors discuss the challenges in healthcare systems during emergencies and how UAVs can be used to overcome these challenges [27]. The authors also described the various kinds of UAVs used in healthcare and their applications. The authors summarize the obstacles and prospects connected with UAV-assisted emergency healthcare networking [28]. The authors mentioned the adoption of UAVs in healthcare networks, with practical applications, and the limitations of current technologies. The authors also proposed a framework for using UAVs in emergency healthcare networks under disaster scenarios [29].  
A systematic review of UAV-assisted healthcare services is provided in disaster management to rescue patients and offer a reliable integrated system by utilizing UAVs in IoMT networks. The authors also described the different disaster management stages and how UAVs can be used in each stage [30]. Developed an outdoor healthcare system for older people during emergencies, in which they adopted UAVs and the Internet of Things IoT devices. The proposed scheme provides real-time assistance to older adults during emergencies and forwards emergency information through communication networks. On the other hand, computer-assisted treatment was defined in [31] as a psychotherapeutic or behavioral treatment given over an IoMT network. This method is becoming more popular as a quick and cheap way to help people with mental health problems who may have trouble getting to traditional therapies.  
There is a growing trend toward providing care outside the hospital for extended periods, and constant supervision is essential. This is due to the high cost of hospitalization, which has led many countries to shift their health policies from reactive acute treatment to proactive care. The proposed schemes mainly focus on resource allocation and data delivery; unfortunately, none investigate security issues. Usually, the existence of black hole attackers tries to hack the data or produce fake data in order to breach other users' privacy. To tackle these issues, the proposed IoMT-assisted treatment, the Stackelberg game theory algorithm, aims to protect IoMT medical healthcare networks from black hole attackers and is an approach in which game theory is used to develop an algorithm. A black hole attacker is a malicious entity that intercepts and redirects network traffic to a black hole, effectively disrupting network communication. The Stackelberg game theory algorithm involves two players the victim or defender (healthcare provider) and the attacker user (black hole attacker). The defender aims to protect the network from the attacker, while the attacker aims to intercept and redirect network traffic. Base on above literature view we have formed table of comparison which shows the advantages and drawbacks of privacy security issues of some famous schemes in medical healthcare networking indicated in Table 2.