## 1 Introduction  
The integration of Internet of Things (IoT) edge nodes into assistive devices marks a significant advancement in improving the daily experiences of individuals with disabilities. These edge nodes facilitate real-time data processing and connectivity, enabling assistive devices to respond more effectively to the needs of users. For example, smart wheelchairs equipped with IoT edge nodes improve mobility by providing features such as obstacle detection and navigation assistance, empowering individuals with disabilities to navigate their environments safely and independently [1, 2]. Similarly, hearing aidswith IoT capabilities enable individuals with hearing impairments to filter sounds and adjust settings via smartphone connectivity, thus enhancing their ability to communicate in diverse settings [3; 4]. Smart home systems designed for individuals with disabilities utilize IoT edge nodes to offer voice control or remote operation of lights, thermostats, and door locks, thereby increasing autonomy and comfort [5]. Wearable health monitors are capable of tracking vital signs and activity levels, providing real-time alerts to users and caregivers, which is particularly important for those with health concerns [6]. Additionally, smart prosthetics leverage edge nodes to analyze movement patterns, facilitating adaptive responses that enhance both functionality and user comfort [7; 8]. Assistive robots developed to support individuals with disabilities can navigate and perform tasks using IoT edge nodes, thereby facilitating daily activities and improving user interaction [9]. Telehealth devices equipped with edge nodes enable remote consultations, ensuring that individuals with disabilities can access medical support without the necessity of travel [10]. Furthermore, environmental control systems empower users to manage their surroundings through IoT technology, promoting independence and enhancing overall quality of life [11]. Despite the integration of Internet of Things (IoT) devices into assistive technologies has significantly enhanced the lives of individuals with disabilities, their widespread adoption brings significant security challenges that must be thoroughly addressed. The sensitive data collected by these devices, coupled with their vulnerability to cyberattacks, raises critical concerns regarding personal privacy and the protection of essential infrastructure. For instance, smart home assistants such as Amazon Echo and Google Home are capable of storing sensitive voice recordings. If these recordings are not adequately secured, they could be accessed by unauthorized users, leading to potential violations of privacy and misuse of personal information [12]. Furthermore, wearable health monitors designed to track vital signs and other health metrics often lack effective authentication mechanisms. This shortcoming leaves personal health data exposed to unauthorized access, significantly jeopardizing the privacy and security of disabled users who rely on these devices for health management [13]. Additionally, smart wheelchairs face risks associated with physical tampering; if compromised, their navigation systems could be manipulated, posing severe safety risks to users. Remote monitoring systems also present challenges, as they may transmit sensitive data without sufficient encryption, making them susceptible to interception and exploitation [14]. The vulnerabilities extend to assistive communication devices and environmental control systems, which frequently rely on insecure communication channels. Such vulnerabilities can facilitate unauthorized access and manipulation of users' home environments, undermining their safety and autonomy [15]. Location tracking devices, while essential for enhancing safety, can introduce significant privacy risks if the tracking information is intercepted by malicious actors [16].