Abstract
The application of confusion and diffusion processes on the three individual components of an RGB image is not secure and efficient, so this problem needs to be addressed. In this paper, a novel RGB image cipher is proposed using chaotic systems, 15-puzzle artificial intelligence problem and DNA computing. First of all the given color image is decomposed into its red, green and blue gray scale images. Then these gray scale images are concatenated to make a single gray scale image. This single gray scale image is further divided into different blocks. A block level permutation (BLP) is proposed on this gray scale image by using the 15-puzzle problem. A pixel level permutation is applied to further randomize the image pixels. This confused image is then DNA encoded. Afterwards, a diffusion process is applied on this DNA encoded image. Lastly this DNA diffused image is converted back into the decimal. Further, this single gray scale image is broken into three gray scale images. These three images are combined to get the final color cipher image. To create the plaintext sensitivity, SHA 256 hash function has been used. Both the simulation and a comprehensive security analyses suggest the robustness and the impregnability of the proposed scheme which in turn signals towards the real world applicability of the scheme.
Highlights
Current era is characterized by the ubiquity of images
Under the light of afore-mentioned discussion, a novel scheme using Intertwining logistic map (ILM), chaotic tent map, 15-puzzle artificial intelligence problem, DNA computing and SHA 256 hash function is proposed with the following salient features:
By using the chaotic systems, DNA technology and 15-Puzzle artificial intelligence problem, a new and a secured image encryption technique has been proposed in this study
Summary
Current era is characterized by the ubiquity of images. These images are found in virtually the entire spectrum of human existence. In 1998, Fridrich proposed a pioneering architecture of pixel level confusion and diffusion [24] that was adopted widely to build image encryption schemes [7]–[10], [14]–[16], [23], [25]–[33] In these schemes, the confusion and diffusion operations were conducted multiple times to get the high security. Zhang et al [45] developed an image cipher using the DNA encoding and chaotic map which was later on proved insecure by [50] against a chosen plaintext attack. Under the light of afore-mentioned discussion, a novel scheme using Intertwining logistic map (ILM), chaotic tent map, 15-puzzle artificial intelligence problem, DNA computing and SHA 256 hash function is proposed with the following salient features:.
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