Image Encryption Algorithms With Variable Confusion Parameters Based on Logistic Mapping
Xie Guo-b · Microelectronics & Computer · 2015
Recently,a variety of encryption algorithms of digital image based on chaos theory have been studied,but a large part of them adopt the traditional confusion-diffusion architecture,the security of which is greatly reduced when attacked by selecting plain-image.In this paper,to address this problem,we propose a algorithm through changing the parameters of Arnold transform combined with Logistic mapping,which increases the correlationof the two operations.Simulation results and numerical analysis show that the algorithms has a large key space,be sensitive of secret keys,which can be effective to resist statistical attack.