An efficient framework for securing medical images using chaotic hash scrambling and logistic diffusion

Abstract

Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. Image encryption is an interesting research topic, especially in medical images. This is due to the importance of security when storing and transmitting digital images. Our main goal is to propose a framework which produces an image encryption and decryption procedure that combines several methods such as chaotic-hash scrambling to perform the confusion process, Henon Map and diffusion with logistic maps to obtain strong encryption against various attacks. The proposed encryption procedure is proven to have resistance to statistical and differential attacks which have been measured by several measuring tools such as histogram analysis, chi- square, entropy, correlation coefficient andavalanche effect. In addition, our proposed framework also generates an unique key for encryption and decryption process using Philox Pseudo Random Generator. Our proposed system can be efficiently applicable in telemedicine applications for securing medical images.