Security, confidentiality, and privacy of information in the field of health with data EPR embedding in medical MRI images based on HVS model

the development of new technology and modern equipment has led to the development of telemedicine systems. As a result, there are dangers such as publishing patient information and intentionally or unintentionally, medical information. The forensic organization, as one of the powerful arms of the judiciary, pursues important cases in the medical and psychiatric commissions to take steps to realize the rights of the people. Patient data security has become a serious concern. the method against these risks. the EPR, with help of embedding in the medical image without changing the shape and size image. The EPR data embedding is based on SSIM and HVS criteria using MRI image segmentation. The idea behind two-dimensional wavelet-cosine conversion based on EPR data latency is that the final image will provide more resilience against malicious attacks. Innovations include the HVS block based on the SSIM criterion for transparency and robustness. embedding coefficient K is considered adaptive as N - ROI. The choice of  coefficients, which contain the function of the frequency sensitivity optimization function and spatial sensitivity to match the visual perception of the visual perception. security in health information systems has weak points, planning to secure access to patients and risk management is necessary and necessary. The research aims to improve the level of security, confidentiality, and integrated storage of patient information and image. the simulation results, considering the parameters of robustness and transparency in comparison with other methods, were carried out with the evaluation criteria including MSE, NC, SSIM, and BER measurements.