AI and SDN Based Framework to Mitigate Threats and Vulnerabilities in Internet of Medical Things

The healthcare industry is critical for the well-being of humans. New technologies have positively influenced the healthcare industry, finding new ways to improve patient care. Internet of Medical Things devices are vulnerable to network-related attacks like Denial of Service attacks, reconnaissance, insider threats, etc. There are numerous benefits to the healthcare industry, but at the same time, various evolving cybersecurity threats are potentially affecting the IoMT environment. Software Defined Networking is an emerging networking field that introduces SDN Controllers that can dynamically control data flow in a network. A system model to effectively use SDN with IoMT, as well as the development of a framework for categorizing attacks on IoMT devices, is presented in this paper. Further, the use of machine learning and deep learning methods to accurately identify network-related attacks in an IoMT network environment is also explored.

International Journal on Communications Antenna and Propagation

International Journal on Communications Antenna and Propagation

15

2039-5094

N/A

2

11