A Hybrid Security Model for the Protection of Diagnostic Text Data in Medical Images over Internet of Things

As innovation for transmitting data has advanced exponentially, new avenues for protecting sensitive information have emerged up. Over the last several decades, many different strategies, such as steganography and cryptography, have been developed to safeguard sensitive information. As the use of IoT devices in healthcare has grown exponentially, concerns about patient privacy and confidentiality have surfaced as important roadblocks for healthcare service systems. Security in device-to-device communication is a challenging subject. There are a plethora of existing cryptographic techniques for use, such as Data Encryption Standard (DES), Rivest-Shamir-Adleman (RSA), and Advanced Encryption Standard. In this research, we provide hybrid security architecture for safeguarding medical image files that include interpretive text. The proposed scheme uses 2D-DWT to encrypt and conceal sensitive information. Both color and black-and-white photos are used as text covers. The proposed system’s efficacy was evaluated using a battery of tests that included PSNR, SSIM, MSE, and Correlation. The suggested model disguised sensitive patient information in a way that was comparable to traditional methods in terms of throughput, invisibility, and damage to the received steno-image. To implement the suggested system, we turn to MATLAB, with throughput and execution time serving as key metrics for evaluation.