A New Image Encryption Scheme based on Fractional-order Hyperchaotic System and Multiple Image Fusion

Abstract

A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encryption algorithm is proposed. Multiple grayscale images are fused into a color image using different channels. Then, the color image is scrambled and diffused in order to obtain a more secure cipher image. The pixel confusion operation and diffusion operation are assisted by fractional hyperchaotic system. Experimental simulation and test results indicate that the devised multi-image encryption scheme can effectively encrypt multiple images, which increase the efficiency of image encryption and transmission, and have good security performance.

Video encryption/compression using compressive coded rotating mirror camera

“…There are several industry-standard methods 15,16 such as advanced encryption standard (AES) 17 and Rivest-Shamir-Adleman (RSA) 18 that have been widely adapted in industrial applications and have also been used within the current computer operating systems. In addition to these techniques, other encryption methods that has also been used in imaging fields can be divided into several categories 19 of chaos [20][21][22][23][24][25] , DNA based [26][27][28] , cellular automata [29][30][31] , fuzzy logic [32][33][34] and transform based (e.g., Wavelet, Fourier, Frensel etc) [35][36][37][38] as well as cryptographic techniques using compressive sensing (CS) [39][40][41] in digital domain. These techniques require the initial acquisition…”

“…During the transmission stage over a channel, data can be altered by a variety of interference and additive noise where a robust decryption algorithm can recover the frames with low data loss 23,38 . To test the performance of our decryption algorithm, two types of Salt and pepper noise (SPN) and additive white Gaussian noise (AWGN) are added to the encrypted data.…”

A generalized framework for elliptic curves based PRNG and its utilization in image encryption

“…Chaos-based techniques gained much attention because of their sensitivity to system parameters and initial conditions. While some techniques added extra parameters to chaotic systems to increase their sensitivity and system key length 1 – 3 , others generated dynamic S-box using either Henon map 4 or logistic-sine map 5 , or generated random keystream using quantum logistic map 6 . On the other hand, non-chaos-based systems gained attention from the diversity of components that can be combined to achieve comparable security strength.…”

Image encryption based on fractional chaotic pseudo-random number generator and DNA encryption method

“…An "improper fractional chaotic system" was constructed and realized based on the DSP platform in [15], an image encryption algorithm was then structured and analyzed. In a recently published paper [16], a different encryption scheme based on a fractional hyperchaotic system has been investigated where multiple grayscale images were fused into a color image and then scrambled and diffused.…”

“…Moreover, the chaotic and pseudo-random properties of the system's outputs over the parameters have not been tested. The increase of keyspace size, which some authors deemed (such as in [13] and [16]), was, therefore, not guaranteed. With respect to this problem, the implementation of the FCPRNG appears as a perfect solution.…”