Safeguarding the security of organizations and people is pivotal, especially when touchy information is moved across networks. Network security is a critical concern, particularly in the medical services industry, which is a promising business sector for IoT gadgets, including those known as the Internet of Medical Things (IoMT). IoMT gadgets work with different medical care administrations, for example, persistent well-being observation. Notwithstanding, developing worries about the network protection of these gadgets have arisen, as various assaults on IoT frameworks have happened as of late. This paper expects to foster an Intrusion Detection System in view of an element choice technique utilizing the most recent dataset, CICIoMT2024. The framework’s adequacy is assessed by utilizing Logistic Regression, AdaBoost, Random Forest, Deep Neural Network, Multilayer Perceptron, and AutoEncoder. The proposed framework expects to give a serious level of organization security certainty.