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Optical Image Encryption Method Based on Quantum Cellular Neural Network Hyperchaotic System

A neural network and optical image technology, applied in the field of information security, can solve the problem of insufficient nonlinearity of the optical encryption system, and achieve the effect of strong anti-attack ability, ultra-high integration, ultra-low power consumption

Inactive Publication Date: 2017-07-07
CHANGCHUN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The present invention provides an optical image encryption method based on a quantum cellular neural network hyperchaotic system to solve the problem of insufficient nonlinearity in the existing optical encryption system

Method used

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  • Optical Image Encryption Method Based on Quantum Cellular Neural Network Hyperchaotic System
  • Optical Image Encryption Method Based on Quantum Cellular Neural Network Hyperchaotic System
  • Optical Image Encryption Method Based on Quantum Cellular Neural Network Hyperchaotic System

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specific Embodiment approach 1

[0029] Specific implementation mode 1. Combination Figure 1 to Figure 3 Description of this embodiment, based on quantum cellular neural network hyperchaotic system optical image encryption method, the method is implemented by the following steps:

[0030] Encryption process:

[0031] Step 1. Select an N×N image as the original plaintext image PI.

[0032] Step 2. Set the initial condition P of the two-cell quantum cellular neural network hyperchaotic system 1 (0),P 2 (0), as an encryption key.

[0033] Step 3, the hyperchaotic system is controlled by the parameter ω 1 ,ω 2 ,b 1 ,b 2 , the initial condition P 1 (0),P 2 (0), iteration times, the size is matrix.

[0034] Step 4. Split the matrix obtained in step 3 to obtain two sizes of matrix.

[0035] Step 5. Perform matrix transformation on the two matrices obtained in step 4 respectively from top to bottom and from left to right to obtain two matrices with a size of N×N respectively as the first and sec...

specific Embodiment approach 2

[0044] Specific embodiment two, combine Figure 1 to Figure 3 This embodiment is described. This embodiment is the optical image encryption method based on the quantum cellular neural network hyperchaotic system described in the first embodiment. The encryption process of this method is realized by the following steps:

[0045] A1. Select the "Cameraman" image of 256×256, image 3 (A) as the original plaintext image PI.

[0046] B1, the encryption key is set as

[0047]

[0048] C1. Iterative two-cell quantum cellular neural network hyperchaotic system times, a matrix of size 32768×4 is obtained.

[0049] D1. Split the matrix obtained by C1 to obtain two matrices with a size of 32768×2.

[0050] E1. Perform matrix transformation on the two matrices obtained by D1 respectively from top to bottom and from left to right to obtain two matrices with a size of 256×256 respectively as the first and second chaotic random phase template CRPM 1 and CRPM 2 .

[0051] F1, multi...

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Abstract

The invention relates to the technical field of information security, and discloses an optical image encryption method based on a quantum cell nerve network hyperchaotic system, for solving the defect of insufficient non-linear degree of a conventional optical encryption system. According to the invention, an optical image is encrypted and decrypted by use of the quantum cell nerve network hyperchaotic system, due to the hyperchaonic characteristic of a quantum cell nerve network, the linearity characteristic of a conventional double-random phase coding optical encryption technology is made up for, and the optical image encryption method has the security characteristics of large secret key space and high anti-attack capability. Besides, since a quantum dot and a quantum cell automatic machine are novel nanometer-level electronic devices which transmit information through coulomb interaction, compared to the prior art, the quantum cell automatic machine has the advantages of super-high integration, super-low power consumption, lead-free integration and the like.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to an image encryption and decryption method based on a quantum cellular neural network hyperchaotic system and fractional Fourier transform. Background technique [0002] While computers and networks have brought great convenience to human beings, they have also brought unprecedented challenges. Information security has become more and more important to countries all over the world. The 21st century is the information age, and information has become an important strategic resource. Information acquisition, processing and security capabilities have become an important part of a country's comprehensive national strength. Information security is related to national security and social stability, therefore, measures must be taken to ensure the information security of our country. [0003] A hot spot in the current research on optical information processing is the researc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/00H04L9/08
Inventor 李锦青底晓强祁晖从立钢毕琳任维武
Owner CHANGCHUN UNIV OF SCI & TECH
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