Security Issues and Intelligent Solutions for Iomt-Enabled Healthcare Systems
B. Sateesh Kumar, Mohammad Sirajuddin · Apple Academic Press eBooks · 2023
Advancements in soft computing techniques have changed the entire paradigm of personal healthcare. In IoMT-enabled healthcare systems, various smart devices are connected to outfits or even attached to the body of the patient for sensing the actions of various body parameters. The data collected from the patient is sent to the sink node. The aggregated healthcare data is forwarded to BS by the central coordinator via intermediate devices and reaches the doctors. As a result, the doctor can prescribe suitable medications to the patient. When this IoMT device is not protected, it puts patients at risk and disrupts a healthcare organization’s entire system. This chapter covers a variety of security, privacy issues, and various attacks on smart devices. Intrusion detection systems, intelligent solutions such as malware identification, AI and ML-based security frameworks and machine learning (ML) applications in personalized healthcare systems are some of the methods that are explored and summarized in this chapter. The reader will gain an understanding of the numerous types of attacks that can occur on smart healthcare devices and their effect on medical equipment. Readers may learn about various technologies that are used to safeguard healthcare data.