Optimizing IoT Healthcare Security with Advanced Hybrid Encryption and Data Embedding Techniques

Abstract

 The term "Internet of Medical Things" (IoMT) describes a network of medical devices and apps that are connected and share healthcare data over the internet. Due to the swift progress of technology, IoMT applications have become essential in contemporary healthcare, enabling remote patient monitoring, instantaneous health data analysis, and enhanced medical services. Nevertheless, the transfer of confidential medical information via the internet gives rise to substantial security apprehensions. In order to deal with these difficulties, lightweight cryptography (LWC) approaches are utilized to ensure the security of medical data transmission in Internet of Medical Things (IoMT) applications. LWC prioritizes delivering strong security while minimizing computational and memory demands. The necessity for safe transmission of medical data in IoMT applications stems from the confidential and delicate nature of healthcare information. Hence, the objective of this study is to create a system that utilizes Lightweight Cryptography (LWC) approaches to provide efficient and secure transmission of medical data, while also optimizing resource utilization. Furthermore, the proposed system utilizes a hybrid security approach to ensure the protection of diagnostic text data in medical images. The suggested model is created by combining the Discrete Wavelet Transform (DWT)-based steganography approach with a hybrid LWC scheme. The hybrid encryption scheme is constructed by combining the Advanced Encryption Standard (AES) and Feistel algorithms. It facilitates effective, protected, and confidentiality-maintaining communication, promoting the development of inventive healthcare solutions in the age of digital revolution.