A Secure and Robust Blockchain‐Based Medical Image Encryption Approach Using Lorenz Chaotic System

Keeping medical images confidential while transmitting is crucial, especially in an open networking environment. One effective approach is blockchain‐based encryption, which provides strong security for sensitive healthcare data. To ensure the greatest levels of medical data integrity and authenticity, our proposed scheme employs a unique Lorenz chaotic system. The use of this system adds another degree of complexity, making it quite more difficult for cryptanalysts to break the key used for encryption. Our techniques improve security by employing unpredictable pixel permutations, 90‐degree rotations, and the intentional usage of a zigzag pattern to conceal pixel layouts. This nonlinear configuration adds to the overall encoding complexities. We integrate the Lorenz chaotic system with blockchain technology to protect medical images and prioritize patient privacy and data integrity. Our encoding performance is evaluated using multiple tests, such as key space, PSNR, correlation coefficient, and entropy, as well as key sensitivity tests.