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

A neural network and cell technology, which is applied in the field of multi-diffusion image encryption and decryption, can solve the problems of ineffective resistance to known plaintext attacks, security defects, insufficient key space, and insufficient randomness.

Active Publication Date: 2018-12-04
CHANGCHUN UNIV OF SCI & TECH
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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

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

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specific Embodiment approach 1

[0119] Specific implementation mode 1. Combination Figure 1 to Figure 4 Describe this embodiment, the multi-diffusion image encryption and decryption method based on quantum cellular neural network chaos, the method is realized by the following steps:

[0120] Step 1. Use the image "ship" with a size of M×N as the original image Image, as shown in the attached image 3 As shown in A, the parity split is carried out, and the split is divided into two sizes The image block Img1 and image block Img2, as attached image 3 B and 3C are shown. M=N=256 in this embodiment. Where Img1 consists of even lines of the original image and Img2 consists of odd lines of the original image, namely:

[0121] Img1(k, j1) = Image(i1, j1)

[0122] Img2(k, j1) = Image(i2, j1)

[0123] Among them, i1=2, 4, 6..., 256; i2=1, 3, 5..., 255; j1=1, 2, 3,..., 256 ;k=1,2,3,...,128

[0124] Step 2: Use the initial value x of the double-cell quantum cellular neural network hyperchaotic system in the ...

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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...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06N99/00G06N3/00G06N3/02
CPCG06N3/002G06N3/02G06T1/0021
Inventor 李锦青底晓强解男男祁晖从立钢任维武毕琳满振龙陈晓冬管红梅
Owner CHANGCHUN UNIV OF SCI & TECH
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