The Image Encryption Algorithm Based on Artificial Images and Complex Logistics Mapping

Abstract

Due to the intuitiveness of image transmission information, the application of images can be ubiquitous, correspondingly, the security of image information has become more significant. As chaos is compatible with cryptography due to some of its characteristics such as sensitivity of initial values, randomness, etc., it is extensively used in image encryption. In this paper, based on artificial images and 2D lagging complex Logistics mapping (2D-LCLM), a novel image encryption algorithm was proposed. Firstly, the pseudorandom sequences generated by 2D-LCLM is used to construct an artificial image. Artificial images can replace the traditional iterative encryption mechanism. Secondly, adopt chaotic sequences to position the original and artificial images. Finally, DNA XOR manipulation is used to merge the two images. Experimental simulation of the standard test graph, through the analysis we can know the encryption algorithm based on artificial image has good encryption effect and security performance.