IOMT Security and Anomaly Detection in Medical Images ‎Using AI

  • Authors

    • Dr. Nidhi Mishra Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India
    • Ashu Nayak Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India
    https://doi.org/10.14419/6fzpzd03

    Received date: June 10, 2025

    Accepted date: June 17, 2025

    Published date: November 1, 2025

  • Information and Communication Technology; Internet of Things; Internet of Medical Things; Security; Authentication; Access Control; ‎Key Agreement; Simulation.

  • Abstract

    The extensive use of information and communication technology (ICT) has transformed every aspect of life as the world moves closer to ‎digitalization. There is no denying that ICT has changed how people communicate, live, work, and study. The Internet of Things, or things, ‎is a powerful combination of critical ICT technologies, with integrated hardware, software, and other technologies for connecting and ‎sharing data with other systems and devices over the Internet. An Internet of Things (IoT) device is any electronic device that can be used in ‎a wide range of social contexts, including connected industries, transportation, healthcare, smart supply chains, smart farms, smart cities, ‎smart grids, and many more. This includes wearable technology and hardware. The Internet of Medical Things (IoMT) is a real-world ‎application of the Internet of Things (IoT) in the healthcare sector, enabling patients to receive better healthcare and enjoy a higher quality of ‎life. It provides seniors and patients with real-time healthcare services, support, and caregiving using Internet-enabled smart devices. The ‎current coronavirus disease (COVID-19) has increased the demand for remote patient care due to a paucity of resources and healthcare ‎facilities, in contrast to the enormous global demand for these services and facilities. Therefore, COVID-19 has played a significant role in ‎the shift of the present healthcare system towards remote care. Even with advancements in the healthcare sector and the apparent benefits of ‎integrating it with IoT, moving all forms of communication online is a logical next step. It opens the door for potential security lapses in the ‎ongoing IoMT communication, providing adversaries with unauthorized access to vital health data that could be misused for malicious ‎intent‎.

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  • How to Cite

    Mishra, D. N. ., & Nayak, A. . (2025). IOMT Security and Anomaly Detection in Medical Images ‎Using AI. International Journal of Basic and Applied Sciences, 14(SI-1), 495-500. https://doi.org/10.14419/6fzpzd03