Light weight cryptography-based data hiding system for Internet of Medical Things

The integration of the Internet of Things (IoT) with medical systems is known as the Internet of Medical Things (IoMT), and these devices involve in medical applications such as real-time diagnosis, remote patient monitoring, and real-time medicine prescriptions etc. However, one of the contentions that create challenges in medical services is the integrity and confidentiality of medical information on the IoMT platform. Another important issue with attaining medical record security is information confidentiality for patient records via the IoMT. Therefore, this work mainly focuses on a lightweight cryptography-based data hiding (LWC-DH) system, which is developed by combining LWC approaches with a steganography model for securing medical data. Initially, medical data is divided into even and odd characters, where even characters are encrypted using elliptic curve cryptography (ECC) and odd characters are encrypted using Feistel block cipher (FBC) cryptography. Then, redundant discrete wavelet transforms (RDWT) based steganography is applied for hiding the encrypted message in the cover image. The simulation results show that the proposed LWC-DH system performs superior in terms of peak signal-to-noise ratio (PSNR), structural similarity (SSIM) index, and mean square error (MSE) as compared to state-of-the-art approaches. In addition, the proposed LWC-DH system also produces low computation time as compared to conventional cryptography approaches.