4D-dynamical system and convolution codes based colored image encryption scheme: information security perception

Dania Saleem Malik

doi:10.1007/s11042-023-16648-4

2023-09-12

PRE

Dania Saleem Malik *

Tariq Shah

DOI：10.1007/s11042-023-16648-4

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摘要

En 中文

A novel color image encryption based on permutation and bit-wise exclusive OR (XOR) operation is introduced in this work. The main objective of the proposed scheme is to provide techniques for safe transmission of image data. A novel technique for generating relation between image pixels and key initial values is proposed in this work to minimize the image attacks, as the sensitivity of key to image pixels is enhanced in such a way that if an attacker slightly changes the image pixel, key values are changed too. For this purpose, two random numbers are derived from novel convolution codes technique. These random numbers are then utilized as initial values of four-dimensional (4-D) dynamical system for generation of the chaotic sequences. These sequences are then deployed in confusion and diffusion phase for segmented images. For the illustration of security level, the proposed scheme is validated via different analysis that includes histogram, correlation, entropy, differential attacks (number of pixel change rate (NPCR), unified average changing intensity (UACI)), key space and key sensitivity analysis. Proposed technique achieves encrypted images RGB (red, green, blue) channel entropy values lie between 7.99791 and 7.9990, NPCR values between 99.5873% and 99.7341%, UACI values between 33.051% and 33.422% and Peak signal noise ratio (PSNR) values between 7.8218 and 9.3821. Also, in key sensitivity analysis a slight alteration in key does not provide any information for the decryption of image. The simulation analysis of proposed scheme confirmed the high sensitivity, image pixels uniform distribution and randomness. Also, the classical attack analysis is performed to check security of proposed ciphered image.

Keyword:

Image encryption

Convolution codes

Chaotic maps