A new substitution–diffusion based image cipher using chaotic standard and logistic maps

By Vinod Patidar, Narendra K. Pareek, Krishan K. Sud. 2009

367 citations recorded by the source corpus.

Abstract In this paper, we propose a new loss-less symmetric image cipher based on the widely used substitution–diffusion architecture which utilizes chaotic standard and logistic maps. It is specifically designed for the coloured images, which are 3D arrays of data streams. The initial condition, system parameter of the chaotic standard map and number of iterations together constitute the secret key of the algorithm. The first round of substitution/confusion is achieved with the help of intermediate XORing keys calculated from the secret key. Then two rounds of diffusion namely the horizontal and vertical diffusions are completed by mixing the properties of horizontally and vertically adjacent pixels, respectively. In the fourth round, a robust substitution/confusion is accomplished by generating an intermediate chaotic key stream (CKS) image in a novel manner with the help of chaotic standard and logistic maps. The security and performance of the proposed image encryption technique has been analyzed thoroughly using various statistical analysis, key sensitivity analysis, differential analysis, key space analysis, speed analysis, etc. Results of the various types of analysis are encouraging and suggest that the proposed image encryption technique is able to manage the trade offs between the security and speed and hence suitable for the real-time secure image and video communication applications.

Subfields: Computer Vision and Pattern Recognition, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/bfbb934dbe79b1af08aa12ee24c0f7c703c0379e

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Citations in the corpus

A RGB image encryption algorithm based on total plain image characteristics and chaos (2015, methodology): “in [14] proposed a modified color image encryption algorithm based on standard map and logistic map with fast encryption properties and excellent correlation results considering his early work in [15], but both algorithms were brokenwith chosen/known plain image attack in [25,26], respectively; in a”