A DNA BASED IMAGE SECURITY MECHANISM APPROACH FOR MEDICAL HEALTH RECORDS

Researchers are having a hard time making sure that medical records are safe. If medical images stored in the cloud or sent through unprotected channels are hacked, they could pose a major threat to patients' privacy and safety. Researchers came up with a number of image encryption methods to make sure that the health information were completely safe. The main goal of this paper is to present a better Efficient Data Masking (EDM) method for encrypting chaotic images using DNA encoding. This method is intended to meet strict security standards for safeguarding private medical images. The suggested method combines a thoroughly studied chaotic system, DNA encoding, and bit-scrambling methods into a full security structure that is best for medical workflows and following the rules. The test results show that EDM has the lowest horizontal (0.002), vertical (-0.003), and diagonal (0.002) correlation coefficients of all the algorithms that were tried. This is 42-48% better than AES-256-CTR and 38-45% better than ChaCha20-Poly1305 for medical images. The information entropy values always get close to the theoretical top value of 8.0 (7.996-7.999), which is higher than or the same as all comparison methods for six different types of images. Differential attack resistance shows that NPCR values are equal between 98.36% and 99.27% and UACI values are in the right range of 33.42% to 33.62%.