A Robust Chaos-Based Technique for Medical Image Encryption

A method called A Robust Chaos-Based Technique for Medical Image Encryption was created to improve the security of medical image storage and transmission. Because they include private patient information, medical photos are susceptible to illegal access. In order to safeguard pictures like MRIs, CT scans, and X-rays, this project uses chaos-based encryption algorithms. By generating encryption keys using the Henon chaotic map, the system ensures great security through unpredictability and randomness. To improve anonymity, image preprocessing methods like pixel substitution and permutation are used. Histogram analysis, correlation analysis, and entropy computations are used to assess the security performance of the encrypted images. An effective way to protect medical data in contemporary healthcare systems, this approach combines the ideas of cryptography and chaos theory to provide strong protection against unwanted access. Keywords: Histogram analysis, security, diagnostics, encrypted images, medical images, Henon Chaotic Map, and cryptosystem.