Analyzing Cyber Attack Detection in IoT Healthcare Environments Using Artificial Intelligence

Abstract: The rapid growth of the Internet of Things (IoT) has significantly increased its integration into daily life. In recent years, the integration of IoT technologies in healthcare has significantly enhanced patient care and operational efficiency. One of the most promising areas for using IoT devices in healthcare or interconnecting medical devices is known as the Internet of Medical Things (IoMT). IoMT supports various healthcare services, e.g., remote patient monitoring. However, there are serious cyber-security concerns, as various attacks have targeted these IoMT devices in recent years. This research presents an analytical approach to understanding how Artificial Intelligence (AI) can improve the detection of cyber-attacks within IoT healthcare environments. The main goal of this research is to provide an AI-based model to detect cyber-attacks in IoMT in the healthcare environment. Many researchers have worked on developing a framework in this field to address critical cybersecurity threats. However, these efforts often fall short of covering other important aspects such as data privacy and interoperability. In this study, a model and framework are proposed to monitor IoT networks, and detect potential security breaches in real-time to help in mitigating risks while maintaining healthcare services. The key findings contribute to strengthening cybersecurity protocols in healthcare IoT environments in order to ensure the protection of sensitive information against emerging cybersecurity vulnerabilities.

Rawan Marzooq Alharbi and Muhammad Asif Khan. “Analyzing Cyber Attack Detection in IoT Healthcare Environments Using Artificial Intelligence”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.8 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160841

@article{Alharbi2025,
title = {Analyzing Cyber Attack Detection in IoT Healthcare Environments Using Artificial Intelligence},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160841},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160841},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {8},
author = {Rawan Marzooq Alharbi and Muhammad Asif Khan}
}