Multi-diffusion image encryption and decryption method based on quantum cellular neural network chaos

Abstract

The invention relates to a multi-diffusion image encryption and decryption method based on cellular neural network chaos, which relates to the technical field of image encryption and solves the problems that the existing image encryption method is insufficient in key space and insufficient in randomness and solves the safety defects that known plaintext attacks and selected plaintext attacks can not be effectively resisted. A chaos control table and a quantum exchange table are generated by a quantum cellular neural network, intra-block and inter-block scrambling for plaintext images is carried out, and the correlation between image pixels is removed through multiple chaotic diffusion steps with positive and negative diffusion and dynamic diffusion included. A quantum cellular neural network hyperchaotic system has a higher key dimension, larger key space, stronger sensitivity and stronger ability to resist various safety attacks, and as a quantum chaotic system is a novel nano-scale device which mutually transmits information under Coulomb interaction between quantum dots and a quantum cellular automata, the quantum cellular neural network hyperchaotic system has the advantages ofultra-high integration, low power consumption, lead-free integration and the like.

Description

technical field [0001] The invention relates to the technical field of image encryption, in particular to a multi-diffusion image encryption and decryption method based on a double-cell quantum cellular neural network hyperchaotic system. Background technique [0002] Digital image is one of the most popular forms of multimedia at present, and it is widely used in politics, economy, national defense, education and so on. For some special fields, such as military affairs, commerce and medical treatment, digital images also have higher confidentiality requirements. In recent years, the problem of information security has become more and more serious, which has attracted widespread attention from scholars at home and abroad. The most common image encryption mechanism is the scrambling-diffusion mechanism. This scrambling-diffusion is repeated for a certain number of times to ensure a corresponding security level. In this mechanism, the generation of keys and control paramete...

AI Technical Summary

Problems solved by technology

[0005] The present invention solves the problem of insufficient key space and insufficient randomness existing in the existing image encryption method, and cannot effectively resist known plaintext attacks and chosen plaintext attacks security flaws and other issues, a quantum cellular neural network chaotic multi-diffusion image encryption and decryption method is provided

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