Enhancing Healthcare Data Security with Deep Learning-Based Reversible Data Hiding Techniques

The volume of electronic medical records acquired, stored, and exchanged over the network has increased dramatically as a result of recent breakthroughs in medical-related technologies. Given the importance and sensitivity of the medical data acquired, the security of the sent data has become a critical and difficult job for researchers. The encryption or password protection is commonly used to protect these medical photographs with embedded data, strategies for concealing data Traditional encryption and data concealing techniques are frequently used. During transmission across the network, it is insecure and time-consuming. When patient data is embedded and send to doctor some conditions have to be satisfied to prevent breaching of data. Comprehensive experiments have been carried out on medical test images and experimental study reveals that the proposed method gives higher embedding rate with comparatively superior image quality than the existing methods.