A HYBRID APPROACH FOR IOMT DATA SECURITY USING ENCRYPTION AND STEGANOGRAPHY FOR A SECURE MESSAGE TRANSMISSION SYSTEM

Abstract

 The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling real-time monitoring, diagnosis, and treatment through interconnected medical devices and sensors. However, the sensitive nature of medical data transmitted across these networks makes it highly vulnerable to security breaches, unauthorized access, and privacy violations. This paper proposes a hybrid security framework that integrates encryption and steganography to ensure secure and reliable message transmission within IoMT environments. In the proposed system, medical data are first encrypted using an advanced cryptographic algorithm to maintain confidentiality and integrity. The encrypted data are then embedded within a digital medium—such as an image or audio file—using an optimized steganographic technique, providing an additional layer of obfuscation against potential attackers. This dual-layer approach significantly enhances data protection during transmission, even over insecure communication channels. Experimental analysis demonstrates that the proposed hybrid model achieves high imperceptibility, robustness, and low computational overhead, making it suitable for resource-constrained IoMT devices. The results confirm that combining encryption and steganography offers a resilient and efficient solution for safeguarding sensitive medical information in modern healthcare systems.