Shielded conveyance of Gut Medical Data in IoMT Networks Using Dual Mode Cryptography and Image Steganography Techniques

Abstract

Gut diseases impact millions of individuals worldwide, underscoring the urgent need for effective security measures in healthcare systems to protect vulnerable medical information. With the increasing adoption of Internet of Medical Things (IoMT) devices for monitoring and managing GI conditions, ensuring the confidentiality and integrity of patient data is paramount. Current security protocols often struggle with issues such as high computational demands and susceptibility to advanced cyber-attacks, highlighting the need for more robust and efficient solutions. To address these challenges, Two-Level Encryption with Gastrointestinal Image Steganography (TLE-GIS) is proposed that enhances data security through a multi-layered approach. The process begins with Data partitioning, into even and odd parts. Then, the even part of the data is encrypted using Networking and Cryptography library (NaCL), known for its high-level encryption functions and ease of use. The odd part is encrypted using Optimal Asymmetric Encryption Padding (OAEP), a padding scheme that adds randomness to encryption, improving security by mitigating specific attack vectors. After encryption, the even and odd parts are combined into a single encrypted message. The combined encrypted message is then hidden within a medical image using a technique called Least Significant Bit - Iterative Wavelet Transform (LSB-IWT), which offers improved quality and reduced distortion. The simulation results shows that the proposed TLE-GIS approach resulted in improved security standards compared to traditional methods.