A Fusional Cubic-Sine Map Model for Secure Medical Image Transmission

Abstract

Medical images are one of the moset significant attribute for diagnoising the disease in medical systems. In today modernization in digital environment medical images are hacked during transmission on insecure network. By considering the patient’s privacy and security their medical images has to be transferred in secure maner. This work aims for proposing a new medical image cipher architecture by based on fusional chaotic map. At first, a fusional Cubic-Sine Map (CSM) is proposed to generate pseudorandom numbers, then confusion and diffusion of image is executed based on the chaotic series produced by CSM. Experimental results and security analysis indicate that the developed chaotic map model generate sufficient random series and also the proposed cipher model has the ability to resisit Statistical, exhaustive, crop and noise attacks attacks.